20.7.3.8 Inspection -- Lumber, Logs, Wood

Chapter Contents (Back)
Real Time Vision. Lumber. Logs. Wood. Application, Inspection. Inspection, Lumber. Defect Detection.
See also Trees, Individual Trees.

Hermary Opto Electronics,
1990
WWW Link. Vendor, Inspection. Industrial inspection systems for sawmills.

LMI Technologies,
1976
WWW Link. Vendor, Inspection. Industrial inspection systems for sawmills. DynaVision.

Wood image database,
2000.
WWW Link.
WWW Link. For information also see:
HTML Version. Dataset, Lumber.

Sobey, P.J., Semple, E.C.,
Detection and sizing visual features in wood using tonal measures and a classification algorithm,
PR(22), No. 4, 1989, pp. 367-380.
Elsevier DOI 0309
BibRef

Bhandarkar, S.M.[Suchendra M.], Faust, T.D.[Timothy D.], Tang, M.J.[Meng-Jin],
CATALOG: a system for detection and rendering of internal log defects using computer tomography,
MVA(11), No. 4, 1999, pp. 171-190.
Springer DOI 0001
BibRef

Bhandarkar, S.M., Faust, T.D., Tang, M.,
A Computer Vision System for Lumber Production Planning,
WACV98(134-139).
IEEE DOI 9809
BibRef

Bhandarkar, S.M., Faust, T.D., and Tang, M.,
A System for Detection of Internal Log Defects by Computer Analysis of Axial CT Images,
WACV96(258-263).
IEEE DOI 9609
BibRef

Zhu, D.P., Conners, R.W., Schmoldt, D.L., Araman, P.A.,
A Prototype Vision System for Analyzing CT Imagery of Hardwood Logs,
SMC-B(26), No. 4, August 1996, pp. 522-532.
IEEE Top Reference. 9608
BibRef

Conners, R.W., Kline, D.E., Araman, P.A., Drayer, T.H.,
Machine Vision Technology for the Forest Products Industry,
Computer(30), No. 7, July 1997, pp. 43-48. 9708
BibRef

Lu, Q., Conners, R.W., Kline, D.E., and Araman, P.A.,
A Real-Time Algorithm for Color Sorting Edge-Glued Panel Parts,
ICIP97(I: 822-825).
IEEE DOI BibRef 9700

Lee, S.C., Qian, G.S., and Hay, D.A.,
Determining a Maximum Value Yield of a Log Using an Optical Log Scanner,
CVPR91(747-748).
IEEE DOI Application, Lumber Mill. BibRef 9100

Funt, B.V.[Brian V.], and Bryant, E.C.[Edwin C.],
A Computer Vision System That Analyses CT-Scans of Sawlogs,
CVPR85(175-177). (Simon Fraser Univ.) Application, Lumber Mill. Interesting application of basic techniques. Impractical because of the need for ct data. BibRef 8500

Conners, R.W., McMillin, C.W., Lin, K., and Vasquez-Espinosa, R.E.,
Identifying and Location Surface Defects in Wood: Part of an Automated Lumber Processing System,
PAMI(5), No. 6, November 1983, pp. 573-583. A related paper with some author overlap is in: BibRef 8311 ICPR90(I: 726-728).
IEEE DOI Application, Lumber Mill. Simple scanner, find defects and control a laser cutter. Much of the savings was in the laser cutting process. BibRef

Kim, C.W., Koivo, A.J.,
Hierarchical Classification of Surface-Defects on Dusty Wood Boards,
PRL(15), No. 7, July 1994, pp. 713-721. BibRef 9407
Earlier: ICPR90(I: 775-779).
IEEE DOI 9006
BibRef

Bhandarkar, S.M.[Suchendra M.], Faust, T.D.[Timothy D.], Tang, M.J.[Meng-Jin],
Design and prototype development of a computer vision-based lumber production planning system,
IVC(20), No. 3, March 2002, pp. 167-189.
Elsevier DOI 0202
BibRef

Bennett, R.W.[Ralph W.], Mayer, R.W.[Robert W.], Qualls, H.F.[Harold F.], Bellenot, S.F.[Steven F.],
Infeed log scanning for lumber optimization,
US_Patent6,463,402, Oct 8, 2002
WWW Link. BibRef 0210

Silvén, O.[Olli], Niskanen, M.[Matti], Kauppinen, H.[Hannu],
Wood inspection with non-supervised clustering,
MVA(13), No. 5-6, 2003, pp. 275-285.
WWW Link. 0304
BibRef
Earlier: A2, A1, A3:
Color and Texture Based Wood Inspection with Non-supervised Clustering,
SCIA01(O-Tu3B). 0206
BibRef

Kauppinen, H.,
A Two Stage Defect Recognition Method for Parquet Slab Grading,
ICPR00(Vol IV: 803-806).
IEEE DOI 0009
BibRef

Kauppinen, H., Silven, O.,
The Effect of Illumination Variations on Color-Based Wood Defect Classification,
ICPR96(III: 828-832).
IEEE DOI 9608
(Univ. of Oulu, SF) BibRef

Bhandarkar, S.M.[Suchendra M.], Luo, X.Z.[Xing-Zhi], Daniels, R.[Richard], Tollner, E.W.[E. William],
Detection of cracks in computer tomography images of logs,
PRL(26), No. 14, 15 October 2005, pp. 2282-2294.
Elsevier DOI 0510
BibRef

Patricio, M.A., Maravall, D.,
A novel generalization of the gray-scale histogram and its application to the automated visual measurement and inspection of wooden Pallets,
IVC(25), No. 6, 1 June 2007, pp. 805-816.
Elsevier DOI 0704
Generalized gray-level histogram; Automatic visual inspection; Image segmentation; Defect detection; Texture recognition; Wood inspection BibRef

Mcgunnigle, G.,
Estimating fibre orientation in spruce using lighting direction,
IET-CV(3), No. 3, September 2009, pp. 143-158.
DOI Link 0909
BibRef

Piuri, V., Scotti, F.,
Design of an Automatic Wood Types Classification System by Using Fluorescence Spectra,
SMC-C(40), No. 3, May 2010, pp. 358-366.
IEEE DOI 1003
BibRef

Piuri, V., Scotti, F., Roveri, M.,
Visual Inspection of Particle Boards for Quality Assessment,
ICIP05(III: 521-524).
IEEE DOI 0512
BibRef

Yusof, R.[Rubiyah], Khalid, M.[Marzuki], Khairuddin, A.S.M.[Anis Salwa Mohd],
Fuzzy logic-based pre-classifier for tropical wood species recognition system,
MVA(24), No. 8, November 2013, pp. 1589-1604.
Springer DOI 1310
BibRef

Yusof, R., Rosli, N.R., Khalid, M.,
Tropical Wood Species Recognition Based on Gabor Filter,
CISP09(1-5).
IEEE DOI 0910
BibRef

Krähenbühl, A.[Adrien], Kerautret, B.[Bertrand], Debled-Rennesson, I.[Isabelle], Mothe, F.[Frédéric], Longuetaud, F.[Fleur],
Knot segmentation in 3D CT images of wet wood,
PR(47), No. 12, 2014, pp. 3852-3869.
Elsevier DOI 1410
Segmentation BibRef

Krähenbühl, A.[Adrien], Kerautret, B.[Bertrand], Feschet, F.[Fabien],
Knot Detection from Accumulation Map by Polar Scan,
IWCIA15(352-362).
Springer DOI 1601
BibRef

Othmani, A.A.[Alice Ahlem], Jiang, C.[Cansen], Lomenie, N.[Nicolas], Favreau, J.M.[Jean-Marie], Piboule, A.[Alexandre], Voon, L.F.C.L.Y.[Lew Fock Chong Lew Yan],
A novel Computer-Aided Tree Species Identification method based on Burst Wind Segmentation of 3D bark textures,
MVA(27), No. 5, July 2016, pp. 751-766.
Springer DOI 1608
BibRef

Othmani, A.A.[Alice Ahlem], Piboule, A.[Alexandre], Dalmau, O.[Oscar], Lomenie, N.[Nicolas], Mokrani, S.[Said], Voon, L.F.C.L.Y.[Lew Fock Chong Lew Yan],
Tree Species Classification Based on 3D Bark Texture Analysis,
PSIVT13(279-289).
Springer DOI 1412
BibRef

Schraml, R.[Rudolf], Hofbauer, H.[Heinz], Petutschnigg, A.[Alexander], Uhl, A.[Andreas],
On rotational pre-alignment for tree log identification using methods inspired by fingerprint and iris recognition,
MVA(27), No. 8, November 2016, pp. 1289-1298.
Springer DOI 1612
BibRef

Heppelmann, J.B.[Joachim B.], Labelle, E.R.[Eric R.], Seifert, T.[Thomas], Seifert, S.[Stefan], Wittkopf, S.[Stefan],
Development and Validation of a Photo-Based Measurement System to Calculate the Debarking Percentages of Processed Logs,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Yu, Y.[Ying], Zeng, W.H.[Wei-Hang], Liu, W.[Wen], Zhang, H.[He], Wang, X.H.[Xiao-Hong],
Crack Propagation and Fracture Process Zone (FPZ) of Wood in the Longitudinal Direction Determined Using Digital Image Correlation (DIC) Technique,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Remeš, V.[Václav], Haindl, M.[Michal],
Bark recognition using novel rotationally invariant multispectral textural features,
PRL(125), 2019, pp. 612-617.
Elsevier DOI 1909
Bark recognition, Tree taxonomy clasification, Spiral Markov random field model BibRef

Delconte, F.[Florian], Ngo, P.[Phuc], Kerautret, B.[Bertrand], Debled-Rennesson, I.[Isabelle], Nguyen, V.T.[Van-Tho], Constant, T.[Thiery],
CNN-based Method for Segmenting Tree Bark Surface Singularites,
IPOL(12), 2022, pp. 1-26.
DOI Link 2201

WWW Link. Code, Tree Bark. BibRef

Nguyen, V.T.[Van-Tho], Kerautret, B., Debled-Rennesson, I., Colin, F., Piboule, A., Constant, T.,
Segmentation of defects on log surface from terrestrial lidar data,
ICPR16(3168-3173)
IEEE DOI 1705
Image segmentation, Rough surfaces, Shape, Surface roughness, Surface treatment, Vegetation BibRef

Delconte, F.[Florian], Ngo, P.[Phuc], Debled-Rennesson, I.[Isabelle], Kerautret, B.[Bertrand], Nguyen, V.T.[Van-Tho], Constant, T.[Thiery],
Tree Defect Segmentation using Geometric Features and CNN,
Reproducible Research on PR(RRPR), 2021.
Springer DOI BibRef 2100

Nguyen, V.T.[Van-Tho], Constant, T.[Thiery], Kerautret, B.[Bertrand], Debled-Rennesson, I.[Isabelle], Colin, F.,
A machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR,
Comp and Elec in Ag(171), 2020, p. 105332.
Elsevier DOI BibRef 2000

Dalponte, M.[Michele], Kallio, A.J.I.[Alvar J. I.], Řrka, H.O.[Hans Ole], Nćsset, E.[Erik], Gobakken, T.[Terje],
Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Decelle, R.[Rémi], Ngo, P.[Phuc], Debled-Rennesson, I.[Isabelle], Mothe, F.[Frédéric], Longuetaud, F.[Fleur],
Ant Colony Optimization for Estimating Pith Position on Images of Tree Log Ends,
IPOL(12), 2022, pp. 558-581.
DOI Link 2212
BibRef


Khazem, S.[Salim], Fix, J.[Jeremy], Pradalier, C.[Cédric],
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation,
CVS23(169-180).
Springer DOI 2312
BibRef

Zhang, L.[Li], Huang, W.[Wei], Wang, J.Q.[Jia-Qi],
Counting of Pine Wood Nematode Based on VDNet Convolutional Neural Network,
ICRVC22(164-168)
IEEE DOI 2301
Image resolution, Convolution, Biological system modeling, Vegetation, Forestry, Mean square error methods, density map BibRef

Batrakhanov, D.[Daniel], Zolotarev, F.[Fedor], Eerola, T.[Tuomas], Lensu, L.[Lasse], Kälviäinen, H.[Heikki],
Virtual sawing using generative adversarial networks,
IVCNZ21(1-6)
IEEE DOI 2201
Industries, Surface reconstruction, Image segmentation, Protocols, Pipelines, Training data, Sawing, convolutional neural networks, virtual sawing BibRef

Pan, S.[Shenyi], Fan, S.[Shuxian], Wong, S.W.K.[Samuel W.K.], Zidek, J.V.[James V.], Rhodin, H.[Helge],
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images,
WACV21(3891-3900)
IEEE DOI 2106
Location awareness, Adaptation models, Visualization, Shape, Atmospheric modeling, Object detection, Detectors BibRef

Boscaini, D.[Davide], Poiesi, F.[Fabio], Messelodi, S.[Stefano], Younes, A.[Ayman], Grande, D.A.[Donato A.],
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs,
IML20(692-704).
Springer DOI 2103
BibRef

Liu, Y., Hou, M., Li, A., Dong, Y., Xie, L., Ji, Y.,
Automatic Detection of Timber-cracks In Wooden Architectural Heritage Using Yolov3 Algorithm,
ISPRS20(B2:1471-1476).
DOI Link 2012
BibRef

Robert, M., Dallaire, P., Gigučre, P.,
Tree bark re-identification using a deep-learning feature descriptor,
CRV20(25-32)
IEEE DOI 2006
Deep Learning, Local feature descriptor, Tree Bark, Instance retrieval, Metric learning BibRef

Guarnera, F., Allegra, D., Giudice, O., Stanco, F., Battiato, S.,
A New Study On Wood Fibers Textures: Documents Authentication Through LBP Fingerprint,
ICIP19(4594-4598)
IEEE DOI 1910
Paper fingerprint, Retrieval, Secure document. BibRef

Martins, A.L.R.[Aurora L. R.], Marcal, A.R.S.[André R. S.], Pissarra, J.[José],
Modified DBSCAN Algorithm for Microscopic Image Analysis of Wood,
IbPRIA19(I:257-269).
Springer DOI 1910
BibRef

Zolotarev, F.[Fedor], Eerola, T.[Tuomas], Lensu, L.[Lasse], Kälviäinen, H.[Heikki], Haario, H.[Heikki], Heikkinen, J.[Jere], Kauppi, T.[Tomi],
Timber Tracing with Multimodal Encoder-Decoder Networks,
CAIP19(II:342-353).
Springer DOI 1909
BibRef

Shustrov, D.[Dmitrii], Eerola, T.[Tuomas], Lensu, L.[Lasse], Kälviäinen, H.[Heikki], Haario, H.[Heikki],
Fine-Grained Wood Species Identification Using Convolutional Neural Networks,
SCIA19(67-77).
Springer DOI 1906
BibRef

Rudakov, N.[Nikolay], Eerola, T.[Tuomas], Lensu, L.[Lasse], Kälviäinen, H.[Heikki], Haario, H.[Heikki],
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks,
GCPR18(115-126).
Springer DOI 1905
BibRef

Remeš, V.[Václav], Haindl, M.[Michal],
Rotationally Invariant Bark Recognition,
SSSPR18(22-31).
Springer DOI 1810
BibRef

Boudra, S.[Safia], Yahiaoui, I.[Itheri], Behloul, A.[Ali],
Plant identification from bark: A texture description based on Statistical Macro Binary Pattern,
ICPR18(1530-1535)
IEEE DOI 1812
BibRef
Earlier:
Statistical Radial Binary Patterns (SRBP) for Bark Texture Identification,
ACIVS17(101-113).
Springer DOI 1712
Encoding, Prototypes, Quantization (signal), Histograms, Image coding, Feature extraction, Image recognition BibRef

Wang, H.F.[Hai-Feng], Zhang, K.[Kun], Li, Z.[Zhuang],
Characteristic extraction, classification and identification algorithm based on two kinds of eaglewood micrographs,
ICIVC17(272-276)
IEEE DOI 1708
Active contours, Character recognition, Data mining, Feature extraction, Image segmentation, Mathematical model, Shape, characteristic extraction, classification, eaglewood micrograph, segmentation BibRef

Antikainen, J.,
Wood cellular structure evaluation using image analysis methods,
MVA17(534-537)
DOI Link 1708
Filtering, Image analysis, Image edge detection, Manuals, Microscopy, Transforms BibRef

Kruglov, A.V.,
The Algorithm of the Roundwood Volume Measurement via Photogrammetry,
DICTA16(1-5)
IEEE DOI 1701
Algorithm design and analysis BibRef

Wu, T.C.A.[Tsung Chi-Ang],
A Study of 3D Digital Simulation Analysis of Fire Charring Degree of Wood Construction of Chinese Traditional Architecture,
EuroMed16(I: 209-216).
Springer DOI 1611
BibRef

Schraml, R.[Rudolf], Petutschnigg, A.[Alexander], Uhl, A.[Andreas],
Validation and reliability of the discriminative power of geometric wood log end features,
ICIP15(3665-3669)
IEEE DOI 1512
Biometric Log Traceability BibRef

Schraml, R.[Rudolf], Hofbauer, H.[Heinz], Petutschnigg, A.[Alexander], Uhl, A.[Andreas],
Tree Log Identification Based on Digital Cross-Section Images of Log Ends Using Fingerprint and Iris Recognition Methods,
CAIP15(I:752-765).
Springer DOI 1511
BibRef

Hansson, M.[Mattias], Enescu, A.[Alexandru], Brandt, S.S.[Sami S.],
Knot detection in X-ray images of wood planks using dictionary learning,
MVA15(497-500)
IEEE DOI 1507
Accuracy BibRef

Hittawe, M.M.[Mohamad Mazen], Muddamsetty, S.M.[Satya M.], Sidibe, D.[Desire], Meriaudeau, F.[Fabrice],
Multiple features extraction for timber defects detection and classification using SVM,
ICIP15(427-431)
IEEE DOI 1512
BibRef
Earlier: A1, A3, A4, only:
Bag of words representation and SVM classifier for timber knots detection on color images,
MVA15(287-290)
IEEE DOI 1507
Bag-of-words; Feature extraction; SVM; Wood defects. Color BibRef

Herbon, C.[Christopher], Tonnies, K.D.[Klaus-Dietz], Otte, B.[Benjamin], Stock, B.[Bernd],
Mobile 3D wood pile surveying,
MVA15(422-425)
IEEE DOI 1507
Benchmark testing BibRef

Norlander, R.[Rickard], Grahn, J.[Josef], Maki, A.[Atsuto],
Wooden Knot Detection Using ConvNet Transfer Learning,
SCIA15(263-274).
Springer DOI 1506
BibRef

Galsgaard, B.[Bo], Lundtoft, D.H.[Dennis H.], Nikolov, I.[Ivan], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Circular Hough Transform and Local Circularity Measure for Weight Estimation of a Graph-Cut Based Wood Stack Measurement,
WACV15(686-693)
IEEE DOI 1503
Companies BibRef

Schraml, R.[Rudolf], Charwat-Pessler, J.[Johann], Uhl, A.[Andreas],
Temporal and longitudinal variances in wood log cross-section image analysis,
ICIP14(5706-5710)
IEEE DOI 1502
Biomedical imaging BibRef

Herbon, C.[Christopher], Otte, B.[Benjamin], Tönnies, K.[Klaus], Stock, B.[Bernd],
Detection of Clustered Objects in Sparse Point Clouds Through 2D Classification and Quadric Filtering,
GCPR14(535-546).
Springer DOI 1411
BibRef

Herbon, C.[Christopher], Tönnies, K.[Klaus], Stock, B.[Bernd],
Detection and Segmentation of Clustered Objects by Using Iterative Classification, Segmentation, and Gaussian Mixture Models and Application to Wood Log Detection,
GCPR14(354-364).
Springer DOI 1411
BibRef

Knyaz, V.A., Maksimov, A.A.,
Photogrammetric Technique for Timber Stack Volume Contol,
PCV14(157-162).
DOI Link 1404
BibRef

Sulc, M., Matas, J.G.,
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition,
IVCNZ13(82-87)
IEEE DOI 1412
feature extraction BibRef

Brunel, G.[Guilhem], Borianne, P.[Philippe], Subsol, G.[Gérard], Jaeger, M.[Marc],
Simple-Graphs Fusion in Image Mosaic: Application to Automated Cell Files Identification in Wood Slices,
SCIA13(34-43).
Springer DOI 1311
BibRef

Krähenbühl, A., Kerautret, B., Debled-Rennesson, I.,
Knot Segmentation in Noisy 3D Images of Wood,
DGCI13(383-394).
Springer DOI 1304
BibRef

Gutzeit, E.[Enrico], Voskamp, J.[Jörg],
Automatic Segmentation of Wood Logs by Combining Detection and Segmentation,
ISVC12(I: 252-261).
Springer DOI 1209
BibRef

Krähenbühl, A.[Adrien], Roussel, J.R.[Jean-Romain], Kerautret, B.[Bertrand], Debled-Rennesson, I.[Isabelle], Mothe, F.[Frédéric], Longuetaud, F.[Fleur],
Robust Knot Segmentation by Knot Pith Tracking in 3D Tangential Images,
ICCVG16(581-593).
Springer DOI 1611
BibRef
Earlier: A1, A3, A4, A6, A5, Only:
Knot Detection in X-Ray CT Images of Wood,
ISVC12(II: 209-218).
Springer DOI 1209
BibRef

Borianne, P., Pernaudat, R., Subsol, G.,
Automated delineation of tree-rings in X-Ray Computed Tomography images of wood,
ICIP11(437-440).
IEEE DOI 1201
BibRef

Ali, I.[Imtiaz], Tougne, L.[Laure],
Unsupervised Video Analysis for Counting of Wood in River during Floods,
ISVC09(II: 578-587).
Springer DOI 0911
BibRef

Wu, H.J.[Hai-Jun], Qi, D.W.[Da-Wei], Jin, X.J.[Xue-Jing], Liu, F.X.[Fu-Xiang],
A Method for Nondestructive Testing of Blockboard Based on Morphological Double-Gradient Algorithm,
CISP09(1-4).
IEEE DOI 0910
BibRef

Yu, H.P.[Hai-Peng], Cao, J.[Jun], Liu, Y.X.[Yi-Xing], Luo, W.[Wei],
Non-Equal Spacing Division of HSV Components for Wood Image Retrieval,
CISP09(1-3).
IEEE DOI 0910
BibRef

Mu, H.B.[Hong-Bo], Qi, D.W.[Da-Wei],
Pattern Recognition of Wood Defects Types Based on Hu Invariant Moments,
CISP09(1-5).
IEEE DOI 0910
BibRef

Norell, K.[Kristin],
An Automatic Method for Counting Annual Rings in Noisy Sawmill Images,
CIAP09(307-316).
Springer DOI 0909
BibRef

Wernersson, E.L.G.[Erik L.G.], Brun, A.[Anders], Hendriks, C.L.L.[Cris L. Luengo],
Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts,
CIAP09(92-102).
Springer DOI 0909
BibRef

Selig, B.[Bettina], Hendriks, C.L.L.[Cris L. Luengo], Bardage, S.[Stig], Borgefors, G.[Gunilla],
Segmentation of Highly Lignified Zones in Wood Fiber Cross-Sections,
SCIA09(369-378).
Springer DOI 0906
BibRef

Paniagua, B.[Beatriz], Green, P.[Patrick], Chantler, M.[Mike], Vega-Rodríguez, M.A.[Miguel A.], Gómez-Pulido, J.A.[Juan A.], Sánchez-Pérez, J.M.[Juan M.],
Perceptually Relevant Pattern Recognition Applied to Cork Quality Detection,
ICIAR09(927-936).
Springer DOI 0907
BibRef

Paniagua, B.[Beatriz], Vega-Rodríguez, M.A.[Miguel A.], Chantler, M.[Mike], Gómez-Pulido, J.A.[Juan A.], Sánchez-Pérez, J.M.[Juan M.],
3D Textural Mapping and Soft-Computing Applied to Cork Quality Inspection,
ISVC08(I: 743-752).
Springer DOI 0812
BibRef

Cerda, M.[Mauricio], Hitschfeld-Kahler, N.[Nancy], Mery, D.[Domingo],
Robust Tree-Ring Detection,
PSIVT07(575-585).
Springer DOI 0712
BibRef

López, M.[Marcos], Matías, J.M.[José M.], Vilán, J.A.[José A.], Taboada, J.[Javier],
Functional Pattern Recognition of 3D Laser Scanned Images of Wood-Pulp Chips,
IbPRIA07(I: 298-305).
Springer DOI 0706
BibRef

Dahl, A.B.[Anders Bjorholm], Aanaes, H.[Henrik],
Effective image database search via dimensionality reduction,
InterNet08(1-6).
IEEE DOI 0806
BibRef

Padfield, D., Brooksby, G., Kaucic, R.,
Automatic Deformation Detection for Visual Post Inspection,
WACV07(57-57).
IEEE DOI 0702
BibRef

Thomas, L., Mili, L., Shaffer, C.A., Thomas, E.,
Defect detection on hardwood logs using high resolution three dimensional laser scan data,
ICIP04(I: 243-246).
IEEE DOI 0505
BibRef

Flood, K.[Katarina], Danielsson, P.E.[Per-Erik], Seger, M.M.[Maria Magnusson],
On 3D Scanning, Reconstruction, Enhancement, and Segmentation of Logs,
SCIA03(733-740).
Springer DOI 0310
BibRef

Andreu, J.P.[Jean-Philippe], Rinnhofer, A.[Alfred],
Modeling Knot Geometry in Norway Spruce from Industrial CT Images,
SCIA03(786-791).
Springer DOI 0310
BibRef

Andreu, J.P., Rinnhofer, A.,
Enhancement of annual rings on industrial CT images of logs,
ICPR02(III: 261-264).
IEEE DOI 0211
BibRef

Laitinen, J.,
A Method for Determination of Bark on Wood Chips,
SCIA99(Industrial Applications). BibRef 9900

Alapuranen, P., Westman, T.,
Automatic Visual Inspection of Wood Surfaces,
ICPR92(I:371-374).
IEEE DOI BibRef 9200

Rinnhofer, A.[Alfred], and Deutschl, E.[Edwin],
An X-Ray Real Time System for Timber Automatic Grading,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Tsui, K.K.,
Using geometric processing in the visualization of ring features in tomographic images of wood,
ICIP96(III: 547-550).
IEEE DOI 9610
BibRef

Abbott, A.L., and Zhao, Y.,
Adaptive Quantization of Color Space for Recognition of Finished Wooden Components,
WACV96(252-257).
IEEE DOI 9609
BibRef

Abbott, A.L., Yuan, B.[Bin],
Automatic classification of wooden cabinet doors,
WACV94(18-25).
IEEE Abstract. 0403
BibRef

Astrand, E., Astrom, A.,
A single chip multi-function sensor system for wood inspection,
ICPR94(C:300-304).
IEEE DOI 9410
BibRef

Silven, O., Kauppinen, H.,
Color vision based methodology for grading lumber,
ICPR94(A:787-790).
IEEE DOI 9410
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Inspection -- Defect Detection, Crack Detection .


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