19.6.3.7.3 Vegetables Detection, Vegetable Inspection, Roots, Tomatoes, Potatoes

Chapter Contents (Back)
Vegetables. Application, Vegetables.

Heinemann, P.H., Pathare, N.P., Morrow, C.T.,
An Automated Inspection Station for Machine-Vision Grading of Potatoes,
MVA(9), No. 1, 1996, pp. 14-19.
Springer DOI 9608
BibRef

Zhou, L.Y., Chalana, V., Kim, Y.,
PC-Based Machine Vision System for Real-Time Computer-Aided Potato Inspection,
IJIST(9), No. 6, 1998, pp. 423-433. 9812
BibRef

Polder, G., van der Heijden, G.W.A.M., Young, I.T.,
Tomato sorting using independent component analysis on spectral images,
RealTimeImg(9), No. 4, August 2003, pp. 253-259.
Elsevier DOI 0311
BibRef

Zeng, G.[Guang], Birchfield, S.T.[Stanley T.], Wells, C.E.[Christina E.],
Detecting and Measuring Fine Roots in Minirhizotron Images Using Matched Filtering and Local Entropy Thresholding,
MVA(17), No. 4, September 2006, pp. 265-278.
Springer DOI 0608
BibRef

Zeng, G.[Guang], Birchfield, S.T.[Stanley T.], Wells, C.E.[Christina E.],
Rapid automated detection of roots in minirhizotron images,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Cai, J.H.[Jin-Hai], Miklavcic, S.,
Surface fitting for individual image thresholding and beyond,
IET-PR(7), No. 6, August 2013, pp. 596-605.
DOI Link 1312
background-foreground segmentation. botany BibRef

Kumar, P.[Pankaj], Cai, J.H.[Jin-Hai], Miklavcic, S.[Stan],
Root crown detection using statistics of Zernike moments,
ICARCV12(1130-1135).
IEEE DOI 1304
BibRef
And:
Automated Detection of Root Crowns Using Gaussian Mixture Model and Bayes Classification,
DICTA12(1-7).
IEEE DOI 1303
rice, corn, grass. BibRef

Chen, X.M.[Xu-Ming], Yang, S.X.[Simon X.],
A practical solution for ripe tomato recognition and localisation,
RealTimeIP(8), No. 1, March 2013, pp. 35-51.
WWW Link. 1303
BibRef

Iwasaki, F.[Fumiya], Imamura, H.[Hiroki],
A Robust Recognition Method for Occlusion of Mini Tomatoes Based on Hue Information and the Curvature,
IJIG(15), No. 02, 2015, pp. 1540004.
DOI Link 1505
BibRef

Verma, U.[Ujjwal], Rossant, F.[Florence], Bloch, I.[Isabelle],
Segmentation and size estimation of tomatoes from sequences of paired images,
JIVP(2015), No. 1, 2015, pp. 33.
DOI Link 1512
BibRef

Mairhofer, S.[Stefan], Johnson, J.[James], Sturrock, C.J.[Craig J.], Bennett, M.J.[Malcolm J.], Mooney, S.J.[Sacha J.], Pridmore, T.P.[Tony P.],
Visual tracking for the recovery of multiple interacting plant root systems from X-ray CT images,
MVA(27), No. 5, July 2016, pp. 721-734.
Springer DOI 1608
BibRef


Tabb, A., Duncan, K.E., Topp, C.N.,
Segmenting Root Systems in X-Ray Computed Tomography Images Using Level Sets,
WACV18(586-595)
IEEE DOI 1806
Plant roots. computerised tomography, image segmentation, medical image processing, X-ray imaging BibRef

Ding, Y.J.[Yong-Jun], Li, J.Y.[Ji-Ying],
The application of Quantum-inspired ant colony algorithm in automatic segmentation of tomato image,
ICIVC17(341-345)
IEEE DOI 1708
Chaos, Convergence, Image segmentation, Logic gates, Optimization, Sociology, Statistics, image segmentation, quantum ant colony algorithm, quantum individual, tomato, image BibRef

Belan, P.A., Araújo, S.A., Alves, W.A.L.,
An Intelligent Vision-Based System Applied to Visual Quality Inspection of Beans,
ICIAR16(801-809).
Springer DOI 1608
BibRef

Araújo, S.A., Alves, W.A.L., Belan, P.A., Anselmo, K.P.,
A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans,
ISVC15(II: 45-53).
Springer DOI 1601
BibRef

Janusch, I.[Ines], Kropatsch, W.G.[Walter G.],
Reeb Graphs Through Local Binary Patterns,
GbRPR15(54-63).
Springer DOI 1511
BibRef

Janusch, I.[Ines], Kropatsch, W.G.[Walter G.], Busch, W.[Wolfgang], Ristova, D.[Daniela],
Representing Roots on the Basis of Reeb Graphs in Plant Phenotyping,
PlantType14(75-88).
Springer DOI 1504
BibRef

Mairhofer, S.[Stefan], Sturrock, C.J.[Craig J.], Bennett, M.J.[Malcolm J.], Mooney, S.J.[Sacha J.], Pridmore, T.P.[Tony P.],
Visual Object Tracking for the Extraction of Multiple Interacting Plant Root Systems,
PlantType14(89-104).
Springer DOI 1504
BibRef

Nakini, T.K.D.[Tushar Kanta Das], de Souza, G.N.[Guilherme N.],
Distortion Correction in 3D-Modeling of Root Systems for Plant Phenotyping,
PlantType14(140-157).
Springer DOI 1504
BibRef

Dacal-Nieto, A.[Angel], Formella, A.[Arno], Carrión, P.[Pilar], Vazquez-Fernandez, E.[Esteban], Fernández-Delgado, M.[Manuel],
Common Scab Detection on Potatoes Using an Infrared Hyperspectral Imaging System,
CIAP11(II: 303-312).
Springer DOI 1109
BibRef
And:
Non-destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging,
CAIP11(II: 180-187).
Springer DOI 1109
BibRef

Barnes, M.[Michael], Cielniak, G.[Grzegorz], Duckett, T.[Tom],
Minimalist AdaBoost for Blemish Identification in Potatoes,
ICCVG10(I: 209-216).
Springer DOI 1009
BibRef
Earlier: A1, A3, A2:
Boosting minimalist classifiers for blemish detection in potatoes,
IVCNZ09(397-402).
IEEE DOI 0911
BibRef

Perciano, T.[Talita], Hirata, R.[Roberto], de Castro Jorge, L.A.[Lúcio André],
Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures,
CIARP10(378-385).
Springer DOI 1011
BibRef

Wang, H.M.[Hong-Mei],
Impact of Magnetic Field on Mung Bean Ultraweak Luminescence,
CISP09(1-3).
IEEE DOI 0910
BibRef

Qi, L.Y.[Li-Yong], Yang, Q.H.[Qing-Hua], Bao, G.J.[Guan-Jun], Xun, Y.[Yi], Zhang, L.[Libin],
A Dynamic Threshold Segmentation Algorithm for Cucumber Identification in Greenhouse,
CISP09(1-4).
IEEE DOI 0910
BibRef

Mühlich, M.[Matthias], Truhn, D.[Daniel], Nagel, K.[Kerstin], Walter, A.[Achim], Scharr, H.[Hanno], Aach, T.[Til],
Measuring Plant Root Growth,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Aguilar, M.A., Pozo, J.L., Aguilar, F.J., Sanchez-Hermosilla, J., Pàez, F.C., Negreiros, J.,
3D Surface Modeling of Tomato Plants Using Close-Range Photogrammetry,
ISPRS08(B5: 139 ff).
PDF File. 0807
BibRef

Erz, G.[Gregor], Posch, S.[Stefan],
A Region Based Seed Detection for Root Detection in Minirhizotron Images,
DAGM03(482-489).
Springer DOI 0310
BibRef

Kirchgessner, N., Spies, H., Scharr, H., Schurr, U.,
Root growth analysis in physiological coordinates,
CIAP01(589-594).
IEEE DOI 0210
BibRef

Huang, Q., Jain, A.K., Stockman, G.C., Smucker, A.J.M.,
Automatic image analysis of plant root structures,
ICPR92(II:569-572).
IEEE DOI 9208
BibRef

Lefebvre, M., Gil, S., Glassey, M.A., Baur, C., Pun, T.,
3D Computer Vision for Agrotics: The Potato Operation, An Overview,
ICPR92(I:207-210).
IEEE DOI BibRef 9200

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Fruit Detection, Fruit Inspection, Apples, Oranges .


Last update:Jul 19, 2018 at 13:26:08