20.7.3.7.10 Plants, Leaf Shapes, Leaf Analysis, Leaf Segmentation

Chapter Contents (Back)
Leaf Shape. Plant Leaf. Application, Leaf Shapes.

Leafsnap,
2011. Vendor, Image Query.
WWW Link. 1106
An electronic field guide combining work from Columbia and Maryland with the resources of the Smithsonian. Initially trees of New York and Maryland. iPhone and iPad apps. Android app to follow.

Schatzki, T.F., Witt, S.C., Wilkins, D.E., Lenker, D.H.,
Characterization of growing lettuce from density contours: I. Head Selection,
PR(13), No. 5, 1981, pp. 333-340.
Elsevier DOI 0309
BibRef

Schatzki, T.F., Witt, S.C., Wilkins, D.E., Lenker, D.H.,
Characterization of growing lettuce from density contours: II. Statistics,
PR(13), No. 5, 1981, pp. 341-346.
Elsevier DOI 0309
BibRef

Peleg, K., Cohen, O., Ziv, M., Kimmel, E.,
Machine identification of buds in images of plant shoots,
MVA(6), No. 4, 1993, pp. 224-232. BibRef 9300

Fu, H., Chi, Z.,
Combined thresholding and neural network approach for vein pattern extraction from leaf images,
VISP(153), No. 6, December 2006, pp. 881-892.
DOI Link 0702
BibRef

Lee, C.L.[Chia-Ling], Chen, S.Y.[Shu-Yuan],
Classification of leaf images,
IJIST(16), No. 1, 2006, pp. 15-23.
DOI Link 0703
BibRef

Nam, Y.Y.[Yun-Young], Hwang, E.J.[Een-Jun], Kim, D.Y.[Dong-Yoon],
A similarity-based leaf image retrieval scheme: Joining shape and venation features,
CVIU(110), No. 2, May 2008, pp. 245-259.
Elsevier DOI 0804
Similarity-based image retrieval; Shape-based retrieval; Leaf image retrieval; Venation; MPP; Mobile computing BibRef

Park, J.K.[Jin-Kyu], Hwang, E.J.[Een-Jun], Nam, Y.Y.[Yun-Young],
Utilizing venation features for efficient leaf image retrieval,
JSS(81), No. 1, January, 2008, pp. 71-82.
Elsevier DOI 0905
BibRef

Taylor-Hell, J.F.[Julia F.], Baranoski, G.V.G.[Gladimir V. G.], Rokne, J.G.[Jon G.],
State Of The Art In The Realistic Modeling Of Plant Venation Systems,
IJIG(5), No. 3, July 2005, pp. 663-678. 0507
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Casanova, D.[Dalcimar], de Mesquita Sá Junior, J.J.[Jarbas Joaci], Bruno, O.M.[Odemir Martinez],
Plant leaf identification using Gabor wavelets,
IJIST(19), No. 3, September 2009, pp. 236-243.
DOI Link 0909
BibRef

Xu, G.L.[Gui-Li], Zhang, F.L.[Feng-Ling], Shah, S.G.[Syed Ghafoor], Ye, Y.Q.[Yong-Qiang], Mao, H.P.[Han-Ping],
Use of leaf color images to identify nitrogen and potassium deficient tomatoes,
PRL(32), No. 11, 1 August 2011, pp. 1584-1590.
Elsevier DOI 1108
Classification; Intellective diagnosis; Feature extraction; Feature selection BibRef

Nandyal, S.S.[Suvarna S.], Anami, B.S.[Basavaraj S.], Govardhan, A., Hiremath, P.S.,
A method for identification and classification of medicinal plant images based on level set segmentation and SVM classification,
IJCVR(3), No. 1-2, 2012, pp. 96-114.
DOI Link 1204
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Nandyal, S.S.[Suvarna S.], Anami, B.S.[Basavaraj S.], Govardhan, A.,
Base and apex angles and margin types-based identification and classification from medicinal plants' leaves images,
IJCVR(3), No. 3, 2013, pp. 197-224.
DOI Link 1309
BibRef

Hu, R., Jia, W., Ling, H., Huang, D.,
Multiscale Distance Matrix for Fast Plant Leaf Recognition,
IP(21), No. 11, November 2012, pp. 4667-4672.
IEEE DOI 1210
BibRef

Zhang, S.W.[Shan-Wen], Lei, Y.K.[Ying-Ke], Dong, T.B.[Tian-Bao], Zhang, X.P.[Xiao-Ping],
Label propagation based supervised locality projection analysis for plant leaf classification,
PR(46), No. 7, July 2013, pp. 1891-1897.
Elsevier DOI 1303
Label propagation; Warshall algorithm; Plant leaf classification; Supervised locality projection analysis (SLPA) BibRef

Bian, M.[Meng], Skidmore, A.K.[Andrew K.], Schlerf, M.[Martin], Wang, T.J.[Tie-Jun], Liu, Y.F.[Yan-Fang], Zeng, R.[Rong], Fei, T.[Teng],
Predicting foliar biochemistry of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels,
PandRS(78), No. 1, April 2013, pp. 148-156.
Elsevier DOI 1304
Total tea polyphenols; Free amino acids; Soluble sugars; Tea quality; Field spectroscopy; Partial least squares regression BibRef

Cerutti, G.[Guillaume], Tougne, L.[Laure], Mille, J.[Julien], Vacavant, A.[Antoine], Coquin, D.[Didier],
Understanding leaves in natural images: A model-based approach for tree species identification,
CVIU(117), No. 10, 2013, pp. 1482-1501.
Elsevier DOI 1309
BibRef
Earlier: A1, A2, A4, A5, Only:
A Parametric Active Polygon for Leaf Segmentation and Shape Estimation,
ISVC11(I: 202-213).
Springer DOI 1109
Plant recognition BibRef

Soares, J.V.B.[João V. B.], Jacobs, D.W.[David W.],
Efficient segmentation of leaves in semi-controlled conditions,
MVA(24), No. 8, November 2013, pp. 1623-1643.
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BibRef

Kumar, N.[Neeraj], Belhumeur, P.N.[Peter N.], Biswas, A.[Arijit], Jacobs, D.W.[David W.], Kress, W.J.[W. John], Lopez, I.C.[Ida C.], Soares, J.V.B.[João V. B.],
Leafsnap: A Computer Vision System for Automatic Plant Species Identification,
ECCV12(II: 502-516).
Springer DOI 1210
BibRef

Larese, M.G.[Mónica G.], Namías, R.[Rafael], Craviotto, R.M.[Roque M.], Arango, M.R.[Miriam R.], Gallo, C.[Carina], Granitto, P.M.[Pablo M.],
Automatic classification of legumes using leaf vein image features,
PR(47), No. 1, 2014, pp. 158-168.
Elsevier DOI 1310
Leaf vein features BibRef

Lei, Y.K.[Ying-Ke], Zou, J.W.[Ji-Wei], Dong, T.B.[Tian-Bao], You, Z.H.[Zhu-Hong], Yuan, Y.[Yuan], Hu, Y.H.[Yi-Hua],
Orthogonal locally discriminant spline embedding for plant leaf recognition,
CVIU(119), No. 1, 2014, pp. 116-126.
Elsevier DOI 1412
Plant leaf recognition BibRef

Kazmi, W.[Wajahat], Foix, S.[Sergi], Alenyà, G.[Guillem], Andersen, H.J.[Hans Jørgen],
Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison,
PandRS(88), No. 1, 2014, pp. 128-146.
Elsevier DOI 1412
Leaf imaging BibRef

Liang, J.[Jie], Zia, A., Zhou, J.[Jun], Sirault, X.,
3D Plant Modelling via Hyperspectral Imaging,
AccBio13(172-177)
IEEE DOI 1403
geophysical image processing BibRef

Yanikoglu, B.A., Aptoula, E., Tirkaz, C.,
Automatic plant identification from photographs,
MVA(25), No. 6, 2014, pp. 1369-1383.
WWW Link. 1408
BibRef
Earlier: A2, A1, Only:
Morphological features for leaf based plant recognition,
ICIP13(1496-1499)
IEEE DOI 1412
Plant recognition BibRef

Wang, B.[Bin], Gao, Y.S.[Yong-Sheng],
Hierarchical String Cuts: A Translation, Rotation, Scale, and Mirror Invariant Descriptor for Fast Shape Retrieval,
IP(23), No. 9, September 2014, pp. 4101-4111.
IEEE DOI 1410
BibRef
Earlier:
Fast and Effective Retrieval of Plant Leaf Shapes,
ACCV12(II:475-486).
Springer DOI 1304
computational geometry BibRef

Johansen, K.[Kasper], Sohlbach, M.[Malte], Sullivan, B.[Barry], Stringer, S.[Samantha], Peasley, D.[David], Phinn, S.[Stuart],
Mapping Banana Plants from High Spatial Resolution Orthophotos to Facilitate Plant Health Assessment,
RS(6), No. 9, 2014, pp. 8261-8286.
DOI Link 1410
BibRef

Cerutti, G.[Guillaume], Tougne, L.[Laure], Coquin, D.[Didier], Vacavant, A.[Antoine],
Leaf margins as sequences: A structural approach to leaf identification,
PRL(49), No. 1, 2014, pp. 177-184.
Elsevier DOI 1410
Leaf recognition BibRef

Kalyoncu, C.[Cem], Toygar, Ö.[Önsen],
Geometric leaf classification,
CVIU(133), No. 1, 2015, pp. 102-109.
Elsevier DOI 1502
Leaf classification BibRef

Grand-Brochier, M., Vacavant, A., Cerutti, G., Kurtz, C., Weber, J., Tougne, L.,
Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods,
IP(24), No. 5, May 2015, pp. 1549-1560.
IEEE DOI 1504
biology computing BibRef

Chaki, J.[Jyotismita], Parekh, R.[Ranjan], Bhattacharya, S.[Samar],
Plant leaf recognition using texture and shape features with neural classifiers,
PRL(58), No. 1, 2015, pp. 61-68.
Elsevier DOI 1505
Gabor filter BibRef

Zhao, C.[Cong], Chan, S.S.F.[Sharon S.F.], Cham, W.K.[Wai-Kuen], Chu, L.M.,
Plant identification using leaf shapes: A pattern counting approach,
PR(48), No. 10, 2015, pp. 3203-3215.
Elsevier DOI 1507
Plant identification BibRef

Prasad, S.[Shitala], Peddoju, S.K.[Sateesh K.], Ghosh, D.[Debashis],
Multi-resolution mobile vision system for plant leaf disease diagnosis,
SIViP(10), No. 1, February 2016, pp. 379-388.
WWW Link. 1601
BibRef

Scharr, H.[Hanno], Minervini, M.[Massimo], French, A.P.[Andrew P.], Klukas, C.[Christian], Kramer, D.M.[David M.], Liu, X.M.[Xiao-Ming], Luengo, I.[Imanol], Pape, J.M.[Jean-Michel], Polder, G.[Gerrit], Vukadinovic, D.[Danijela], Yin, X.[Xi], Tsaftaris, S.A.[Sotirios A.],
Leaf segmentation in plant phenotyping: a collation study,
MVA(27), No. 4, May 2016, pp. 585-606.
Springer DOI 1605
BibRef

Chéné, Y.[Yann], Rousseau, D.[David], Belin, É.[Étienne], Garbez, M.[Morgan], Galopin, G.[Gilles], Chapeau-Blondeau, F.[François],
Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor,
MVA(27), No. 4, May 2016, pp. 447-461.
Springer DOI 1605
BibRef

Larese, M.G.[Mónica G.], Granitto, P.M.[Pablo M.],
Finding local leaf vein patterns for legume characterization and classification,
MVA(27), No. 5, July 2016, pp. 709-720.
Springer DOI 1608
BibRef
Earlier:
Hybrid Consensus Learning for Legume Species and Cultivars Classification,
PlantType14(201-214).
Springer DOI 1504
BibRef

Tomar, D.[Divya], Agarwal, S.[Sonali],
Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine,
IJIG(16), No. 03, 2016, pp. 1650012.
DOI Link 1608
BibRef

Champ, J.[Julien], Lorieul, T.[Titouan], Bonnet, P.[Pierre], Maghnaoui, N.[Najate], Sereno, C.[Christophe], Dessup, T.[Thierry], Boursiquot, J.M.[Jean-Michel], Audeguin, L.[Laurent], Lacombe, T.[Thierry], Joly, A.[Alexis],
Categorizing plant images at the variety level: Did you say fine-grained?,
PRL(81), No. 1, 2016, pp. 71-79.
Elsevier DOI 1609
Fine grained classification BibRef

Faria, F.A.[Fabio A.], Almeida, J.[Jurandy], Alberton, B.C.[Bruna C.], Morellato, L.P.C.[Leonor Patricia C.], da Silva Torres, R.[Ricardo],
Fusion of time series representations for plant recognition in phenology studies,
PRL(83, Part 2), No. 1, 2016, pp. 205-214.
Elsevier DOI 1609
Plant species identification BibRef

Almeida, J.[Jurandy], dos Santos, J.A.[Jefersson A.], Alberton, B.C.[Bruna C.], Morellato, L.P.C.[Leonor Patricia C.], da Silva Torres, R.[Ricardo],
Phenological visual rhythms: Compact representations for fine-grained plant species identification,
PRL(81), No. 1, 2016, pp. 90-100.
Elsevier DOI 1609
BibRef
Earlier:
Visual rhythm-based time series analysis for phenology studies,
ICIP13(4412-4416)
IEEE DOI 1412
Plant phenology. Remote phenology BibRef

Faria, F.A.[Fabio A.], Almeida, J.[Jurandy], Alberton, B.[Bruna], Morellato, L.P.C.[Leonor Patricia C.], Rocha, A.[Anderson], da Silva Torres, R.[Ricardo],
Time series-based classifier fusion for fine-grained plant species recognition,
PRL(81), No. 1, 2016, pp. 101-109.
Elsevier DOI 1609
Plant species identification BibRef

Rouahi, H.[Hibat'Allah], Mtibaa, R.[Riadh], Zagrouba, E.[Ezzeddine],
Bayesian Approach in Kendall Shape Space for Plant Species Classification,
IbPRIA17(322-331).
Springer DOI 1706
BibRef

Lee, S.H.[Sue Han], Chan, C.S.[Chee Seng], Mayo, S.J.[Simon Joseph], Remagnino, P.[Paolo],
How deep learning extracts and learns leaf features for plant classification,
PR(71), No. 1, 2017, pp. 1-13.
Elsevier DOI 1707
Plant, recognition BibRef

Lee, S.H.[Sue Han], Chan, C.S.[Chee Seng], Remagnino, P.[Paolo],
Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks,
IP(27), No. 9, September 2018, pp. 4287-4301.
IEEE DOI 1807
biology computing, data visualisation, feature extraction, image classification, learning (artificial intelligence), deep learning BibRef

Lee, S.H.[Sue Han], Chang, Y.L., Chan, C.S.[Chee Seng], Remagnino, P.[Paolo],
HGO-CNN: Hybrid generic-organ convolutional neural network for multi-organ plant classification,
ICIP17(4462-4466)
IEEE DOI 1803
Correlation, Feature extraction, Machine learning, Measurement, Task analysis, Training, deep learning BibRef

Lee, S.H.[Sue Han], Chan, C.S.[Chee Seng], Wilkin, P.[Paul], Remagnino, P.[Paolo],
Deep-plant: Plant identification with convolutional neural networks,
ICIP15(452-456)
IEEE DOI 1512
deep learning;feature visualisation;plant classification BibRef

Reichmuth, A.[Anne], Henning, L.[Lea], Pinnel, N.[Nicole], Bachmann, M.[Martin], Rogge, D.[Derek],
Early Detection of Vitality Changes of Multi-Temporal Norway Spruce Laboratory Needle Measurements: The Ring-Barking Experiment,
RS(10), No. 1, 2018, pp. xx-yy.
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Yin, X.[Xi], Liu, X.M.[Xiao-Ming], Chen, J.[Jin], Kramer, D.M.[David M.],
Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos,
PAMI(40), No. 6, June 2018, pp. 1411-1423.
IEEE DOI 1805
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Earlier:
Multi-leaf tracking from fluorescence plant videos,
ICIP14(408-412)
IEEE DOI 1502
BibRef
And:
Multi-leaf alignment from fluorescence plant images,
WACV14(437-444)
IEEE DOI 1406
Image edge detection, Image segmentation, Optimization, Prediction algorithms, Predictive models, Shape, Videos, Arabidopsis, tracking Computational modeling. BibRef

Hu, J., Chen, Z., Yang, M., Zhang, R., Cui, Y.,
A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition,
SPLetters(25), No. 6, June 2018, pp. 853-857.
IEEE DOI 1806
biology computing, botany, convolution, feature extraction, feedforward neural nets, image recognition, image resolution, plant leaf recognition BibRef

Pereira, C.S.[Carlos S.], Morais, R., Reis, M.J.C.S.,
Pixel-Based Leaf Segmentation from Natural Vineyard Images Using Color Model and Threshold Techniques,
ICIAR18(96-106).
Springer DOI 1807
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Li, Y., Su, Y., Hu, T., Xu, G., Guo, Q.,
Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data,
GeoRS(56), No. 8, August 2018, pp. 4945-4955.
IEEE DOI 1808
geophysical image processing, geophysical techniques, image segmentation, optical scanners, vegetation, terrestrial laser scanner (TLS) BibRef

Zhou, C.[Chao], Chen, S.B.[Sheng-Bo], Zhang, Y.Z.[Yuan-Zhi], Zhao, J.H.[Jian-Hua], Song, D.R.[De-Rui], Liu, D.W.[Da-Wei],
Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Hu, C.H.[Chun-Hua], Pan, Z.[Zhou], Li, P.P.[Ping-Ping],
A 3D Point Cloud Filtering Method for Leaves Based on Manifold Distance and Normal Estimation,
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DOI Link 1902
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Itakura, K.[Kenta], Hosoi, F.[Fumiki],
Estimation of Leaf Inclination Angle in Three-Dimensional Plant Images Obtained from Lidar,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
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Rajewicz, P.A.[Paulina A.], Atherton, J.[Jon], Alonso, L.[Luis], Porcar-Castell, A.[Albert],
Leaf-Level Spectral Fluorescence Measurements: Comparing Methodologies for Broadleaves and Needles,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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Kheirkhah, F.M.[Fateme Mostajer], Asghari, H.[Habibollah],
Plant leaf classification using GIST texture features,
IET-CV(13), No. 4, June 2019, pp. 369-375.
DOI Link 1906
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Kycko, M.[Marlena], Romanowska, E.[Elzbieta], Zagajewski, B.[Bogdan],
Lead-Induced Changes in Fluorescence and Spectral Characteristics of Pea Leaves,
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DOI Link 1909
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Wang, B., Gao, Y., Sun, C., Blumenstein, M., La Salle, J.,
Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves,
IP(28), No. 12, December 2019, pp. 5963-5976.
IEEE DOI 1909
Shape, Compounds, Transforms, Legged locomotion, Shape measurement, Feature extraction, Image retrieval, Shape description, Log-Min distance BibRef

Kuo, K.T.[Kuang-Ting], Itakura, K.[Kenta], Hosoi, F.[Fumiki],
Leaf Segmentation Based on k-Means Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR,
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Xu, G.Q.[Guo-Qing], Li, C.[Chen], Wang, Q.[Qi],
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Neuwirthová, E.[Eva], Kuusk, A.[Andres], Lhotáková, Z.[Zuzana], Kuusk, J.[Joel], Albrechtová, J.[Jana], Hallik, L.[Lea],
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Deep learning, Instance segmentation, Digitized herbarium specimen images (DHS), Plant leaves, Morphological traits BibRef

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Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods,
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Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies,
PandRS(183), 2022, pp. 19-33.
Elsevier DOI 2201
Residual Networks, Semantic segmentation, Proximate remote sensing, Leaf quantity, Leaf quality, Phenocam BibRef

Rashwan, S.A.[Shaheera A.], Elteir, M.K.[Marwa K.],
Plant leaf disease detection using deep learning on mobile devices,
IJCVR(12), No. 2, 2022, pp. 156-176.
DOI Link 2203
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Caglayan, A.[Ali], Imamoglu, N.[Nevrez], Nakamura, R.[Ryosuke],
MMSNet: Multi-modal scene recognition using multi-scale encoded features,
IVC(122), 2022, pp. 104453.
Elsevier DOI 2205
RGB-D scene recognition, Multi-modal learning, Multi-scale feature fusion BibRef

Caglayan, A.[Ali], Can, A.B.[Ahmet Burak],
Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition,
3DSemantics18(III:675-688).
Springer DOI 1905
BibRef
Earlier:
An Empirical Analysis of Deep Feature Learning for RGB-D Object Recognition,
ICIAR17(312-320).
Springer DOI 1706
BibRef
And:
3D convolutional object recognition using volumetric representations of depth data,
MVA17(125-128)
DOI Link 1708
Data models, Feature extraction, Iris recognition, Neural networks, Object recognition, Solid modeling. BibRef

Caglayan, A.[Ali], Guclu, O.[Oguzhan], Can, A.B.[Ahmet Burak],
A Plant Recognition Approach Using Shape and Color Features in Leaf Images,
CIAP13(II:161-170).
Springer DOI 1309
BibRef

Chen, X.[Xin], Wang, B.[Bin], Gao, Y.S.[Yong-Sheng],
Symmetric Binary Tree Based Co-occurrence Texture Pattern Mining for Fine-grained Plant Leaf Image Retrieval,
PR(129), 2022, pp. 108769.
Elsevier DOI 2206
BibRef
And:
Pairwise Rotational-Difference LBP for Fine-Grained Leaf Image Retrieval,
ICIP22(3346-3350)
IEEE DOI 2211
Leaf image pattern, Species recognition, Fine-grained image recognition, Feature fusion, Image retrieval. Image recognition, Gray-scale, Task analysis, Rotation measurement, spatial co-occurrence feature BibRef

Chen, X.[Xin], Wang, B.[Bin], Gao, Y.S.[Yong-Sheng],
Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval,
ICCV23(11068-11077)
IEEE DOI 2401
BibRef
And:
Leaf Vocabulary: Fine-Grained Leaf Image Retrieval Using Bag-of-Visual-Words Representation,
ICPR22(2714-2720)
IEEE DOI 2212
Performance evaluation, Vocabulary, Visualization, Histograms, Shape, Shape measurement, Image retrieval, shape features BibRef

Chen, X.[Xin], You, J.W.[Jia-Wei], Tang, H.[Hui], Wang, B.[Bin], Gao, Y.S.[Yong-Sheng],
Fine-Grained Plant Leaf Image Retrieval Using Local Angle Co-occurrence Histograms,
ICIP21(1599-1603)
IEEE DOI 2201
Deep learning, Histograms, Image recognition, Image coding, Shape, Fuses, Leaf image pattern, species recognition, image retrieval BibRef

Budianti, N.[Noviana], Naramoto, M.[Masaaki], Iio, A.[Atsuhiro],
Drone-Sensed and Sap Flux-Derived Leaf Phenology in a Cool Temperate Deciduous Forest: A Tree-Level Comparison of 17 Species,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Han, T.[Tao], Sánchez-Azofeifa, G.A.[Gerardo Arturo],
Extraction of Liana Stems Using Geometric Features from Terrestrial Laser Scanning Point Clouds,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chen, Q.H.[Qin-Han], Yao, L.J.[Li-Jian], Xu, L.J.[Li-Jun], Yang, Y.[Yankun], Xu, T.[Taotao], Yang, Y.C.[Yun-Cong], Liu, Y.[Yu],
Horticultural Image Feature Matching Algorithm Based on Improved ORB and LK Optical Flow,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Lin, X.F.[Xu-Feng], Li, C.T.[Chang-Tsun], Adams, S.[Scott], Kouzani, A.Z.[Abbas Z.], Jiang, R.[Richard], He, L.G.[Li-Gang], Hu, Y.J.[Yong-Jian], Vernon, M.[Michael], Doeven, E.[Egan], Webb, L.[Lawrence], Mcclellan, T.[Todd], Guskich, A.[Adam],
Self-Supervised Leaf Segmentation under Complex Lighting Conditions,
PR(135), 2023, pp. 109021.
Elsevier DOI 2212
Self-supervised learning, Convolutional neural networks, Image-based plant phenotyping, Leaf segmentation, Cannabis BibRef

Ciocîrlan, M.I.C.[Mihnea Ioan Cezar], Curtu, A.L.[Alexandru Lucian], Radu, G.R.[Gheorghe Raul],
Predicting Leaf Phenology in Forest Tree Species Using UAVs and Satellite Images: A Case Study for European Beech (Fagus sylvatica L.),
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Li, X.[Xin], Guo, S.[Siyu], Gong, L.[Linrui], Lan, Y.[Yuan],
An automatic plant leaf stoma detection method based on YOLOv5,
IET-IPR(17), No. 1, 2023, pp. 67-76.
DOI Link 2301
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Li, S.[Sijia], Fang, H.L.[Hong-Liang], Zhang, Y.H.[Ying-Hui],
Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Almodfer, R.[Rolla], Mudhsh, M.[Mohammed], Zhao, J.[Jifei],
Pyramided and optimized blurred shape model for plant leaf classification,
IET-IPR(17), No. 10, 2023, pp. 2838-2854.
DOI Link 2308
feature extraction, feature selection, image classification, image recognition, optimization BibRef

Xue, F.[Fuduo], Elnashef, B.[Bashar], Jin, W.Q.[Wei-Qi], Filin, S.[Sagi],
Polarimetric monocular leaf normal estimation model for plant phenotyping,
PandRS(202), 2023, pp. 142-157.
Elsevier DOI 2308
Polarization imaging, Normal estimation, Reflectance model, Leaf orientation BibRef

Hao, W.L.[Wei-Lin], Sun, J.[Jia], Zhang, Z.[Zichao], Zhang, K.[Kan], Qiu, F.[Feng], Xu, J.[Jin],
Novel Hybrid Model to Estimate Leaf Carotenoids Using Multilayer Perceptron and PROSPECT Simulations,
RS(15), No. 20, 2023, pp. 4997.
DOI Link 2310
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Jayanthi, B., Kumar, L.S.[Lakshmi Sutha],
Comparison of convolutional neural networks architectures for mango leaf classification,
IJCVR(14), No. 1, 2024, pp. 84-98.
DOI Link 2312
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Yuan, S.X.[Shao-Xiong], Song, G.[Guangman], Gong, Q.H.[Qing-Hua], Wang, Q.[Quan], Wang, J.[Jun], Chen, J.[Jun],
Reshaping Leaf-Level Reflectance Data for Plant Species Discrimination: Exploring Image Shape's Impact on Deep Learning Results,
RS(15), No. 24, 2023, pp. 5628.
DOI Link 2401
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Roy, S.[Srinjoy], Binu, D., Rajakumar, B.R., Talasila, V.[Vamsidhar], Bhatt, A.[Abhishek],
Super Resolved Maize Plant Leaves Disease Detection Using Optimal Generative Adversarial Network,
IJIG(24), No. 1, Januaur 2024, pp. 2450003.
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AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting,
WACV23(6404-6413)
IEEE DOI 2302
Training, Image segmentation, Annotations, Plants (biology), Image edge detection, Production, Task analysis, Biomedical/healthcare/medicine BibRef

Mei, J.[Jie], Sun, K.Q.[Kai-Qiong], Luo, G.[Gang],
Cross-Domain Leaf Counting with Minimizing Feature Distances,
ICIVC22(812-817)
IEEE DOI 2301
Training, Deep learning, Adaptation models, Costs, Annotations, Computational modeling, Estimation, deep learning, leaf counting, domain adaptation BibRef

Beery, S.[Sara], Wu, G.[Guanhang], Edwards, T.[Trevor], Pavetic, F.[Filip], Majewski, B.[Bo], Mukherjee, S.[Shreyasee], Chan, S.[Stanley], Morgan, J.[John], Rathod, V.[Vivek], Huang, J.[Jonathan],
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift,
CVPR22(21262-21275)
IEEE DOI 2210
Training, Measurement, Urban areas, Forestry, Vegetation, Benchmark testing, Datasets and evaluation, Vision applications and systems BibRef

Gozzovelli, R.[Riccardo], Franchetti, B.[Benjamin], Bekmurat, M.[Malik], Pirri, F.[Fiora],
Tip-burn stress detection of lettuce canopy grown in Plant Factories,
CVPPA21(1259-1268)
IEEE DOI 2112
Training, Measurement, Image segmentation, Merging, Search problems, Production facilities, Sensors BibRef

Guo, R.[Ruohao], Qu, L.[Liao], Niu, D.T.[Dan-Tong], Li, Z.B.[Zhen-Bo], Yue, J.[Jun],
LeafMask: Towards Greater Accuracy on Leaf Segmentation,
CVPPA21(1249-1258)
IEEE DOI 2112
Data analysis, Current measurement, Refining, Neural networks, Merging BibRef

Ghazal, M., Mahmoud, A., Shalaby, A., Shaker, S., Khelifi, A., El-Baz, A.,
Precise Statistical Approach for Leaf Segmentation,
ICIP20(2985-2989)
IEEE DOI 2011
Image segmentation, Diseases, Lighting, Gray-scale, Forestry, Support vector machines, Probability distribution, LCDG, GGMRF, Mangrove BibRef

El Abidine, M.Z.[Mouad Zine], Merdinoglu-Wiedemann, S.[Sabine], Rasti, P.[Pejman], Dutagaci, H.[Helin], Rousseau, D.[David],
Machine Learning-based Classification of Powdery Mildew Severity on Melon Leaves,
ICISP20(74-81).
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Khan, N.A., Lyon, O.A.S., Eramian, M., McQuillan, I.,
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize,
AgriVision20(330-339)
IEEE DOI 2008
Skeleton, Image segmentation, Topology, Prediction algorithms, Agriculture BibRef

Ajij, M., Roy, D.S.[D. Sinha], Pratihar, S.,
Plant Leaf Recognition using Geometric Features and Pearson Correlations,
IVCNZ19(1-6)
IEEE DOI 2004
biology computing, botany, feature extraction, image classification, object recognition, shape recognition, leaf categorization BibRef

Haindl, M., Žid, P.,
Coniferous Trees Needles-Based Taxonomy Classification,
IVCNZ19(1-6)
IEEE DOI 2004
biology computing, botany, feature extraction, image classification, image texture, Markov processes, Spiral Markov random field model BibRef

Forero, M.G.[Manuel G.], Perdomo, S.A.[Sammy A.], Quimbaya, M.A.[Mauricio A.], Perez, G.F.[Guillermo F.],
Image Processing Method for Epidermal Cells Detection and Measurement in Arabidopsis Thaliana Leaves,
IbPRIA19(II:416-428).
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Scabini, L.F.S.[Leonardo F. S.], Condori, R.M.[Rayner M.], Munhoz, I.C.L.[Isabella C. L.], Bruno, O.M.[Odemir M.],
Deep Convolutional Neural Networks for Plant Species Characterization Based on Leaf Midrib,
CAIP19(II:389-401).
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Isokane, T.[Takahiro], Okura, F.[Fumio], Ide, A.[Ayaka], Matsushita, Y.[Yasuyuki], Yagi, Y.S.[Yasu-Shi],
Probabilistic Plant Modeling via Multi-view Image-to-Image Translation,
CVPR18(2906-2915)
IEEE DOI 1812
Probabilistic logic, Bayes methods, Solid modeling, Estimation, Computational modeling BibRef

Bhugra, S., Mishra, D., Anupama, A., Chaudhury, S., Lall, B., Chugh, A.,
Automatic Quantification of Stomata for High-Throughput Plant Phenotyping,
ICPR18(3904-3910)
IEEE DOI 1812
Scanning electron microscopy, Apertures, Image segmentation, Feature extraction, Stress, Morphology BibRef

Chaudhury, A., Barron, J.L.,
Occluded Leaf Matching with Full Leaf Databases Using Explicit Occlusion Modelling,
CRV18(8-15)
IEEE DOI 1812
Splines (mathematics), Shape, Databases, Feature extraction, Measurement, Mathematical model, Energy Optimization BibRef

Ni, F., Wang, B.,
Integral Contour Angle: An Invariant Shape Descriptor for Classification and Retrieval of Leaf Images,
ICIP18(1223-1227)
IEEE DOI 1809
Shape, Feature extraction, Image retrieval, Task analysis, Image color analysis, Shape measurement, leaf identification BibRef

Gélard, W., Herbulot, A., Devy, M., Casadebaig, P.,
3D Leaf Tracking for Plant Growth Monitoring,
ICIP18(3663-3667)
IEEE DOI 1809
Labeling, Monitoring, Spirals, Stress, Motion segmentation, Biomedical monitoring, 3D leaf tracking, Sunflower plants BibRef

Chaisuk, P., Phromsuthirak, K., Areekul, V.,
Leaf classification based on a quadratic curved axis,
ICIP17(4472-4476)
IEEE DOI 1803
Classification algorithms, Databases, Feature extraction, Measurement, Reliability, Shape, Strain, Leaf classification, Plant identification BibRef

Chen, Y., Ribera, J., Boomsma, C., Delp, E.J.,
Plant leaf segmentation for estimating phenotypic traits,
ICIP17(3884-3888)
IEEE DOI 1803
Agriculture, Image color analysis, Image segmentation, Imaging, Indexes, Shape, Unmanned aerial vehicles, color image processing, segmentation BibRef

Shah, M.P., Singha, S., Awate, S.P.,
Leaf classification using marginalized shape context and shape-texture dual-path deep convolutional neural network,
ICIP17(860-864)
IEEE DOI 1803
Convolutional neural networks, Image color analysis, Robustness, Shape, Support vector machines, texture BibRef

Alves, D.H.A.[Daniel H. A.], Galonetti, L.F.[Luís F.], de Oliveira, C.[Claiton], Bugatti, P.H.[Pedro H.], Saito, P.T.M.[Priscila T. M.],
Going Deeper on BioImages Classification: A Plant Leaf Dataset Case Study,
CIARP17(36-44).
Springer DOI 1802
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Beardsley, P., Chaurasia, G.,
Editable Parametric Dense Foliage from 3D Capture,
ICCV17(5315-5324)
IEEE DOI 1802
image colour analysis, image reconstruction, image segmentation, solid modelling, 3d capture, Bezier patches, Bezier representation, BibRef

Dobrescu, A., Giuffrida, M.V., Tsaftaris, S.A.,
Leveraging Multiple Datasets for Deep Leaf Counting,
CVPPP17(2072-2079)
IEEE DOI 1802
Image segmentation, Machine learning, Shape, Testing, Training BibRef

Aich, S., Stavness, I.,
Leaf Counting with Deep Convolutional and Deconvolutional Networks,
CVPPP17(2080-2089)
IEEE DOI 1802
Data models, Image segmentation, Manuals, Training BibRef

Gélard, W.[William], Herbulot, A.[Ariane], Devy, M.[Michel], Debaeke, P.[Philippe], McCormick, R.F.[Ryan F.], Truong, S.K.[Sandra K.], Mullet, J.[John],
Leaves Segmentation in 3D Point Cloud,
ACIVS17(664-674).
Springer DOI 1712
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Wang, B., Gao, Y., Sun, C., Blumenstein, M., Salle, J.L.,
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?,
CVPR17(2047-2056)
IEEE DOI 1711
Feature extraction, Legged locomotion, Mirrors, Shape, Shape measurement, Transforms BibRef

Du, M.J.[Meng-Jie], Zheng, J.,
Measurement of classify typical planting medicinal Fritillaria Pallidiflora Schrenk with WorldView-2 extraction problem imagery,
ICIVC17(808-811)
IEEE DOI 1708
Biomedical monitoring, Biomedical optical imaging, Monitoring, Optical sensors, Principal component analysis, Standards, WorldView-2, classification, fritillaria pallidiflora schrenk, object-oriented, texture feature, traditional, Chinese, medicine BibRef

Brattland, V.[Vegard], Austvoll, I.[Ivar], Ruoff, P.[Peter], Drengstig, T.[Tormod],
Image Processing of Leaf Movements in Mimosa pudica,
SCIA17(I: 77-87).
Springer DOI 1706
BibRef

Ameur, R.B., Valet, L., Coquin, D.,
Sub-classification strategies for tree species recognition,
ICPR16(2139-2144)
IEEE DOI 1705
Adaptive systems, Context, Databases, Pattern recognition, Shape, Silicon, Vegetation BibRef

Olivares, L., Victorino, J., Gómez, F.,
Automatic leaf shape category discovery,
ICPR16(1023-1028)
IEEE DOI 1705
Biology, Databases, Harmonic analysis, Kernel, Manuals, Shape, Visualization, Adaptive mean shift, Leaf shape, Visual, category, discovery BibRef

Frolov, K., Fripp, J., Nguyen, C.V., Furbank, R., Bull, G., Kuffner, P., Daily, H., Sirault, X.,
Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants,
DICTA16(1-7)
IEEE DOI 1701
Cameras BibRef

Yu, X., Xiong, S., Gao, Y., Zhao, Y., Yuan, X.,
Multiscale Crossing Representation Using Combined Feature of Contour and Venation for Leaf Image Identification,
DICTA16(1-6)
IEEE DOI 1701
Feature extraction BibRef

Siravenha, A.C., Carvalho, S.R.,
Plant Classification from Leaf Textures,
DICTA16(1-8)
IEEE DOI 1701
Data mining BibRef

Yu, X.H.[Xiao-Han], Xiong, S.W.[Sheng-Wu], Gao, Y.,
Leaf image retrieval using combined feature of vein and contour,
ICVNZ15(1-6)
IEEE DOI 1701
feature extraction BibRef

Romera-Paredes, B.[Bernardino], Torr, P.H.S.[Philip Hilaire Sean],
Recurrent Instance Segmentation,
ECCV16(VI: 312-329).
Springer DOI 1611
Recurrent NN sequentially find objects. BibRef

Putzu, L.[Lorenzo], di Ruberto, C.[Cecilia], Fenu, G.[Gianni],
A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps,
ACIVS16(570-581).
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El Massi, I., Es-Saady, Y., El Yassa, M., Mammass, D., Benazoun, A.,
Automatic Recognition of the Damages and Symptoms on Plant Leaves Using Parallel Combination of Two Classifiers,
CGiV16(131-136)
IEEE DOI 1608
botany BibRef

Kala, J.R.[Jules Raymond], Viriri, S.[Serestina], Moodley, D.[Deshendran],
Leaf Classification Using Convexity Moments of Polygons,
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Kala, J.R.[Jules Raymond], Viriri, S.[Serestina], Moodley, D.[Deshendran], Tapamo, J.R.[Jules Raymond],
Leaf Classification Using Convexity Measure of Polygons,
ICISP16(51-60).
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El Massi, I.[Ismail], Es-Saady, Y.[Youssef], El Yassa, M.[Mostafa], Mammass, D.[Driss], Benazoun, A.[Abdeslam],
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Olsen, A., Han, S., Calvert, B., Ridd, P., Kenny, O.,
In Situ Leaf Classification Using Histograms of Oriented Gradients,
DICTA15(1-8)
IEEE DOI 1603
biology computing BibRef

Rousseau, D.[David], van de Zedde, H.J.[Henricus J.],
Counting leaves without 'finger-counting' by supervised multiscale frequency analysis of depth images from top view,
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Giuffrida, M.V.[Mario Valerio], Minervini, M.[Massimo], Tsaftaris, S.[Sotirios],
Learning to Count Leaves in Rosette Plants,
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Simek, K.[Kyle], Barnard, K.[Kobus],
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Leaf Segmentation under Loosely Controlled Conditions,
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Pape, J.M.[Jean-Michel], Klukas, C.[Christian],
Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images,
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Inferring Leaf Blade Development from Examples,
CIARP15(27-34).
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Oncevay-Marcos, A.[Arturo], Juarez-Chambi, R.[Ronald], Khlebnikov-Núñez, S.[Sofía], Beltrán-Castañón, C.[César],
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Redolfi, J.A.[Javier A.], Sánchez, J.A.[Jorge A.], Pucheta, J.A.[Julián A.],
Fisher Vectors for Leaf Image Classification: An Experimental Evaluation,
CIARP15(298-305).
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Saitoh, T.[Takeshi], Iwata, T.[Toshihiro], Wakisaka, K.[Kentaro],
OKIRAKU search: Leaf images based visual tree search system,
MVA15(242-245)
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Feature extraction BibRef

Zhao, Z.Q.[Zhong-Qiu], Xie, B.J.[Bao-Jian], Cheung, Y.M.[Yiu-Ming], Wu, X.D.[Xin-Dong],
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Augustin, M.[Marco], Haxhimusa, Y.[Yll], Busch, W.[Wolfgang], Kropatsch, W.G.[Walter G.],
Image-Based Phenotyping of the Mature Arabidopsis Shoot System,
PlantType14(231-246).
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Sulc, M.[Milan], Matas, J.G.[Jiri G.],
Texture-Based Leaf Identification,
PlantType14(185-200).
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Fast Features Invariant to Rotation and Scale of Texture,
CVLBP14(47-62).
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Pape, J.M.[Jean-Michel], Klukas, C.[Christian],
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Le, T.L.[Thi-Lan], Tran, D.T.[Duc-Tuan], Pham, N.H.[Ngoc-Hai],
Kernel descriptor based plant leaf identification,
IPTA14(1-5)
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biology computing BibRef

Leemans, V., Dumont, B., Destain, M.F.,
Assessment of plant leaf area measurement by using stereo-vision,
IC3D13(1-5)
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area measurement BibRef

Hall, D.[David], McCool, C.[Chris], Dayoub, F.[Feras], Sunderhauf, N.[Niko], Upcroft, B.[Ben],
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WACV15(797-804)
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Accuracy BibRef

Liu, H., Coquin, D., Valet, L., Cerutti, G.,
Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy,
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Decision trees BibRef

Yadav, A.R., Dewal, M.L., Anand, R.S., Gupta, S.,
Classification of hardwood species using ANN classifier,
NCVPRIPG13(1-5)
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automatic optical inspection BibRef

Vu, H.[Hai], Le, T.L.[Thi-Lan], Tran, T.H.[Thanh-Hai], Nguyen, T.T.[Thuy Thi],
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active contours BibRef

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ICIP13(4417-4421)
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BibRef

Guénard, J.[Jérôme], Morin, G.[Géraldine], Boudon, F.[Frédéric], Charvillat, V.[Vincent],
Reconstructing Plants in 3D from a Single Image Using Analysis-by-Synthesis,
ISVC13(I:322-332).
Springer DOI 1310
BibRef

Suk, T.[Tomáš], Flusser, J.[Jan], Novotný, P.[Petr],
Comparison of Leaf Recognition by Moments and Fourier Descriptors,
CAIP13(221-228).
Springer DOI 1308

See also Recognition of Blurred Images by the Method of Moments.
See also Pattern Recognition by Affine Moment Invariants. BibRef

Silva, P.F.B.[Pedro F. B.], Marçal, A.R.S.[André R. S.], Almeida da Silva, R.M.[Rubim M.],
Evaluation of Features for Leaf Discrimination,
ICIAR13(197-204).
Springer DOI 1307
BibRef

Mouine, S.[Sofiene], Yahiaoui, I.[Itheri], Verroust-Blondet, A.[Anne],
Combining Leaf Salient Points and Leaf Contour Descriptions for Plant Species Recognition,
ICIAR13(205-214).
Springer DOI 1307
BibRef

Laga, H., Kurtek, S., Srivastava, A., Golzarian, M., Miklavcic, S.J.,
A Riemannian Elastic Metric for Shape-Based Plant Leaf Classification,
DICTA12(1-7).
IEEE DOI 1303
BibRef

Mzoughi, O.[Olfa], Yahiaoui, I.[Itheri], Boujemaa, N.[Nozha],
Petiole shape detection for advanced leaf identification,
ICIP12(1033-1036).
IEEE DOI 1302
BibRef

Gopal, A, Reddy, S.P.[S. Prudhveeswar], Gayatri, V.,
Classification of selected medicinal plants leaf using image processing,
IMVIP12(5-8).
IEEE DOI 1302
BibRef

Kajiyama, T.[Tomoko],
Botanical data retrieval system supporting discovery learning,
ICMR11(36).
DOI Link 1301
'Concentric Ring View' for multi-faceted metadata. BibRef

Mzoughi, O.[Olfa], Yahiaoui, I.[Itheri], Boujemaa, N.[Nozha], Zagrouba, E.[Ezzeddine],
Advanced tree species identification using multiple leaf parts image queries,
ICIP13(3967-3971)
IEEE DOI 1412
Plant identification BibRef

Mouine, S.[Sofiene], Yahiaoui, I.[Itheri], Verroust-Blondet, A.[Anne],
Plant species recognition using spatial correlation between the leaf margin and the leaf salient points,
ICIP13(1466-1470)
IEEE DOI 1412
BibRef
Earlier:
Advanced shape context for plant species identification using leaf image retrieval,
ICMR12(49).
DOI Link 1301
Plant species identification. local and shape-based features BibRef

Larese, M.G.[Mónica G.], Craviotto, R.M.[Roque M.], Arango, M.R.[Miriam R.], Gallo, C.[Carina], Granitto, P.M.[Pablo M.],
Legume Identification by Leaf Vein Images Classification,
CIARP12(447-454).
Springer DOI 1209
BibRef

Cope, J.S.[James S.], Remagnino, P.[Paolo],
Classifying Plant Leaves from Their Margins Using Dynamic Time Warping,
ACIVS12(258-267).
Springer DOI 1209
BibRef

Mzoughi, O.[Olfa], Yahiaoui, I.[Itheri], Boujemaa, N.[Nozha],
Extraction of Leaf Parts by Image Analysis,
ICIAR12(I: 348-358).
Springer DOI 1206
BibRef

Venkatesh, S.K., Raghavendra, R.,
Local Gabor Phase Quantization Scheme for Robust Leaf Classification,
NCVPRIPG11(211-214).
IEEE DOI 1205
BibRef

Wang, Z.Y.[Zhi-Yong], Lu, B.[Bin], Chi, Z.[Zheru], Feng, D.D.[David Dagan],
Leaf Image Classification with Shape Context and SIFT Descriptors,
DICTA11(650-654).
IEEE DOI 1205
BibRef

Dey, D.[Debadeepta], Mummert, L.[Lily], Sukthankar, R.[Rahul],
Classification of plant structures from uncalibrated image sequences,
WACV12(329-336).
IEEE DOI 1203
fine-scale plant structure in 3D point clouds. To estimate crop yield in growing season. BibRef

Souza, T.L.G.[Thiago L.G.], Mapa, E.S.[Eduardo S.], dos Santos, K.[Kayran], Menotti, D.[David],
Application of complex networks for automatic classification of damaging agents in soybean leaflets,
ICIP11(1065-1068).
IEEE DOI 1201
BibRef

Shivling, V.D., Singla, A.[Ajay], Ghanshyam, C., Kapur, P.[Pawan], Gupta, S.[Savita],
Plant leaf imaging technique for agronomy,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

de Vylder, J.[Jonas], Ochoa, D.[Daniel], Philips, W.[Wilfried], Chaerle, L.[Laury], van der Straeten, D.[Dominique],
Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours,
MIRAGE11(75-85).
Springer DOI 1110
BibRef

de Vylder, J.[Jonas], Aelterman, J.[Jan], Philips, W.[Wilfried],
Robust Active Contour Segmentation with an Efficient Global Optimizer,
ACIVS11(195-206).
Springer DOI 1108
BibRef

de Vylder, J.[Jonas], Douterloigne, K.[Koen], Philips, W.[Wilfried],
A Fast External Force Field for Parametric Active Contour Segmentation,
ACIVS10(I: 125-134).
Springer DOI 1012
BibRef

de Vylder, J.[Jonas], Philips, W.[Wilfried],
A computational efficient external energy for active contour segmentation using edge propagation,
ICIP10(661-664).
IEEE DOI 1009
BibRef

Beghin, T.[Thibaut], Cope, J.S.[James S.], Remagnino, P.[Paolo], Barman, S.[Sarah],
Shape and Texture Based Plant Leaf Classification,
ACIVS10(II: 345-353).
Springer DOI 1012
BibRef

Cope, J.S.[James S.], Remagnino, P.[Paolo], Barman, S.[Sarah], Wilkin, P.[Paul],
Plant Texture Classification Using Gabor Co-occurrences,
ISVC10(II: 669-677).
Springer DOI 1011
BibRef

Cope, J.S.[James S.], Remagnino, P.[Paolo], Barman, S.[Sarah], Wilkin, P.[Paul],
The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms,
ACIVS10(I: 135-144).
Springer DOI 1012
BibRef

Caballero, C.[Carlos], Aranda, M.C.[M. Carmen],
Plant species identification using leaf image retrieval,
CIVR10(327-334).
DOI Link 1007
BibRef

Tang, X.D.[Xiao-Dong], Liu, M.H.[Man-Hua], Zhao, H.[Hui], Tao, W.[Wei],
Leaf Extraction from Complicated Background,
CISP09(1-5).
IEEE DOI 0910
BibRef

Jin, W.B.[Wen-Biao], Gu, W.Z.[Wen-Zhe], Zhang, Z.F.[Zhi-Feng],
An Improved Method for Modeling of Leaf Venation Patterns,
CISP09(1-5).
IEEE DOI 0910
BibRef

Teng, C.H.[Chin-Hung], Kuo, Y.T.[Yi-Ting], Chen, Y.S.[Yung-Sheng],
Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints,
ICIAR09(937-946).
Springer DOI 0907
BibRef

Ma, W.[Wei], Zha, H.B.[Hong-Bin], Liu, J.[Jia], Zhang, X.P.[Xiao-Peng], Xiang, B.[Bo],
Image-based plant modeling by knowing leaves from their apexes,
ICPR08(1-4).
IEEE DOI 0812
BibRef

van Hamme, D.[David], Veelaert, P.[Peter], Philips, W.[Wilfried], Teelen, K.[Kristof], Stevens, N.[Niels], Vermeersch, B.[Bart],
Foliage Recognition Based on Local Edge Information,
ACIVS08(xx-yy).
Springer DOI 0810

See also Face Recognition Using Parabola Edge Map. BibRef

Zhang, Y.H.[Yin-Hui], Zhang, Y.S.[Yun-Sheng], He, Z.F.[Zi-Fen], Tang, X.Y.[Xiang-Yang],
Automatic Inspection of Tobacco Leaves Based on MRF Image Model,
ISVC07(II: 662-670).
Springer DOI 0711
BibRef

Clarke, J.[James], Barman, S.[Sarah], Remagnino, P.[Paolo], Bailey, K.[Ken], Kirkup, D.[Don], Mayo, S.[Simon], Wilkin, P.[Paul],
Venation Pattern Analysis of Leaf Images,
ISVC06(II: 427-436).
Springer DOI 0611
BibRef

Moeslund, T.B.[Thomas B.], Aagaard, M.[Michael], Lerche, D.[Dennis],
3D Pose Estimation of Cactus Leaves using an Active Shape Model,
WACV05(I: 468-473).
IEEE DOI 0502
BibRef

Kunii, T.L.[Tosiyasu L.], Im, C.[Cholhong], Nishida, H.[Hirobumi],
Recognizing Plant Species by Leaf Shapes: A Case Study of the Acer Family,
ICPR98(Vol II: 1171-1173).
IEEE DOI 9808
BibRef

Im, C., Nishida, H., Kunii, T.L.,
A Hierarchical Method of Recognizing Plant Species by Leaf Shapes,
MVA98(xx-yy). BibRef 9800

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Plankton Analysis, Extraction, Features, Small Scale and Large Scale .


Last update:Mar 16, 2024 at 20:36:19