19.6.3.4 Inspection -- Metal Inspection, Castings, Machining

Chapter Contents (Back)
Real Time Vision. Application, Inspection. Defect Detection. Castings. Metal Inspection.

Decker, H.,
A Difference Technique for Automatic Inspection of Casting Parts,
PRL(2), 1983, pp. 125-129. BibRef 8300

Strecker, H.,
A Local Feature Method for the Detection of Flaws in Automated X-Ray Inspection of Castings,
SP(5), 1983, pp. 423-431. BibRef 8300

Batchelor, B.G., Cotter, S.M.,
Detection of Cracks Using Image Processing Algorithms Implemented in Hardware,
IVC(1), No. 1, February 1983, pp. 21-29.
WWW Link. BibRef 8302

Don, H.S., Fu, K.S., Liu, C.R., and Lin, W.C.,
Metal Surface Inspection Using Image Processing Techniques,
SMC(14), No. 1, January/February 1984, pp. 139-145. BibRef 8401

Suresh, B.R., Fundakowski, R.A., Levitt, T.S., and Overland, J.E.,
A Real-Time Automated Visual Inspection System for Hot Steel Slabs,
PAMI(5), No. 6, November 1983, pp. 563-572. Adaptive Threshold. Real time processing with off the shelf components - composed of a small array processor for segmentation and feature analysis and a mini for defect analysis. Roberts edge, adaptive threshold, find edges, link between scan lines, classify imperfections. BibRef 8311

Boerner, H., and Strecker, H.,
Automated X-Ray Inspection of Aluminum Castings,
PAMI(10), No. 1, January 1988, pp. 79-91.
IEEE DOI BibRef 8801

Okawa, Y.[Yoshikuni],
Automatic Inspection of the Surface Defects of Cast Metals,
CVGIP(25), No. 1, January 1984, pp. 89-112.
WWW Link. BibRef 8401

Piirainen, T., Silven, O., Pietikainen, M., Laitinen, T., Strommer, E.,
Automated Visual Inspection Of Rolled Metal Surfaces,
MVA(3), No. 4, 1990, pp. xx-yy. BibRef 9000

Marshall, A.D., Martin, R.R., Hutber, D.,
Automatic inspection of mechanical parts using geometric models and laser range finder data,
IVC(9), No. 6, December 1991, pp. 385-405.
WWW Link. 0401
BibRef

Meriaudeau, F., Renier, E., Truchetet, F.,
Temperature Imaging and Image-Processing in the Steel-Industry,
OptEng(35), No. 12, December 1996, pp. 3470-3481. 9701
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Lee, C., Peters, W.H., Chao, Y.J., Sutton, M.A.,
Improved Digital Image Processing Techniques to Investigate Plastic Zone Formation in Steel,
IVC(4), No. 4, November 1986, pp. 203-207.
WWW Link. BibRef 8611

Fellows, T.C.[Todd C.], Rittenhouse, N.E.[Norman E.], Yablonsky, P.J.[Peter J.],
Optical inspection system utilizing dynamic analog-to-digital thresholding,
US_Patent5,377,282, Dec 27, 1994
WWW Link. BibRef 9412

Bahr, B., Motavalli, S., Arfi, T.,
Sensor Fusion for Monitoring Machine-Tool Conditions,
JCIM(10), No. 5, September/October 1997, pp. 314-323. 9709
BibRef

Lou, K.N., Lin, C.J.,
An Intelligent Sensor Fusion System for Tool Monitoring on a Machining Center,
IJAMT(13), No. 8, 1997, pp. 556-565. 9712
BibRef

Garcia, D.F., Garcia, M., Obeso, F., Fernandez, V.,
Real-Time Flatness Inspection System for Steel Strip Production Lines,
RealTimeImg(5), No. 1, February 1999, pp. 35-47. BibRef 9902

Kassim, A.A.[Ashraf A.], Mannan, M.A., Jing, M.[Ma],
Machine tool condition monitoring using workpiece surface texture analysis,
MVA(11), No. 5, 2000, pp. 257-263.
HTML Version. 0004
BibRef

Mannan, M.A., Mian, Z.[Zhu], Kassim, A.A.,
Tool wear monitoring using a fast Hough transform of images of machined surfaces,
MVA(15), No. 3, July 2004, pp. 156-163.
Springer DOI 0407
BibRef

Kassim, A.A., Mian, Z.[Zhu], Mannan, M.A.,
Connectivity oriented fast Hough transform for tool wear monitoring,
PR(37), No. 9, September 2004, pp. 1925-1933.
WWW Link. 0407
BibRef

Kassim, A.A., Mian, Z.[Zhu], Mannan, M.A.,
Tool condition classification using Hidden Markov Model based on fractal analysis of machined surface textures,
MVA(17), No. 5, October 2006, pp. 327-336.
Springer DOI 0609
BibRef
Earlier:
Texture analysis using fractals for tool wear monitoring,
ICIP02(III: 105-108).
IEEE DOI 0210
BibRef

Mannan, M.A., Kassim, A.A.[Ashraf A.], Jing, M.[Ma],
Application of image and sound analysis techniques to monitor the condition of cutting tools,
PRL(21), No. 11, October 2000, pp. 969-979. 0010
BibRef

Kassim, A.A., Mannan, M.A., Mian, Z.[Zhu],
Texture analysis methods for tool condition monitoring,
IVC(25), No. 7, 1 July 2007, pp. 1080-1090.
WWW Link. 0705
Machine vision; Texture analysis; Tool wear monitoring BibRef

Wiltschi, K.[Klaus], Pinz, A.[Axel], Lindeberg, T.[Tony],
An automatic assessment scheme for steel quality inspection,
MVA(12), No. 3, 2000, pp. 113-128.
HTML Version. 0010
BibRef

Li, X., Tso, S.K., Wang, J.,
Real-Time Tool Condition Monitoring Using Wavelet Transforms and Fuzzy Techniques,
SMC-C(30), No. 3, August 2000, pp. 352-357.
IEEE Top Reference. 0011
BibRef

Katafuchi, N.[Norifumi], Sano, M.[Mutsuo], Ohara, S.[Shuichi], Okudaira, M.[Masashi],
A method for inspecting industrial parts surfaces based on an optics model,
MVA(12), No. 4, 2000, pp. 170-176.
HTML Version. 0101
BibRef

Lee, M.F.R.[Min-Fan Ricky], de Silva, C.W.[Clarence W.], Croft, E.A.[Elizabeth A.], Wu, Q.M.J.[Q.M. Jonathan],
Machine vision system for curved surface inspection,
MVA(12), No. 4, 2000, pp. 177-188.
HTML Version. 0101
BibRef

Fraser, C.S.[Clive S.], Riedel, B.[Björn],
Monitoring the thermal deformation of steel beams via vision metrology,
PandRS(55), No. 4, November 2000, pp. 268-276. Monitored within 1mm. 0101
BibRef

Foresti, G.L.,
Visual inspection of sea bottom structures by an autonomous underwater vehicle,
SMC-B(31), No. 5, October 2001, pp. 691-705.
IEEE Top Reference. 0111
BibRef

Muller, U.[Ulrich], Peuker, G.[Gustav], Sonnenschein, D.[Detlef], Winter, D.[Detlef], Degner, M.[Michael], Thiemann, G.[Gerd],
Flatness measurement system for metal strip,
US_Patent6,286,349, Sep 11, 2001
WWW Link. BibRef 0109

Seulin, R.[Ralph], Merienne, F.[Frederic], Gorria, P.[Patrick],
Simulation of Specular Surface Imaging Based on Computer Graphics: Application on a Vision Inspection System,
JASP(2002), No. 7, July 2002, pp. 649-658. 0208
BibRef

Pernkopf, F.[Franz], O'Leary, P.[Paul],
Visual Inspection of Machined Metallic High-Precision Surfaces,
JASP(2002), No. 7, July 2002, pp. 667-678. 0208
BibRef

Garcia, D.F.[Daniel F.], Usamentiaga, R.[Rubén], Marín, I.[Ignacio], González, J.A.[Juan A.], de Abajo, N.[Nicolas],
Shape Inspection System for Variable-Luminance Steel Plates with Real-Time Adaptation Capabilities to Luminance Variations,
RealTimeImg(8), No. 4, August 2002, pp. 303-315.
DOI Link 0210
BibRef

Fish, R.K., Ostendorf, M., Bernard, G.D., Castanon, D.A.,
Multilevel classification of milling tool wear with confidence estimation,
PAMI(25), No. 1, January 2003, pp. 75-85.
IEEE DOI 0301
BibRef

Tsai, D.M.[Du-Ming], Huang, T.Y.[Tse-Yun],
Automated surface inspection for statistical textures,
IVC(21), No. 4, April 2003, pp. 307-323.
WWW Link. 0301
BibRef

Mäenpää, T.[Topi], Turtinen, M.[Markus], Pietikäinen, M.[Matti],
Real-time surface inspection by texture,
RealTimeImg(9), No. 5, October 2003, pp. 289-296.
WWW Link. 0311
BibRef

Zhang, Y.J.[Yong-Jun], Zhang, Z.X.[Zu-Xun], Zhang, J.Q.[Jian-Qing],
Deformation visual inspection of industrial parts with image sequence,
MVA(15), No. 3, July 2004, pp. 115-120.
Springer DOI 0407
BibRef

Zhang, Y.J.[Yong-Jun], Zhang, Z.X.[Zu-Xun], Zhang, J.Q.[Jian-Qing],
Automatic measurement of industrial sheetmetal parts with CAD data and non-metric image sequence,
CVIU(102), No. 1, April 2006, pp. 52-59.
WWW Link. Photogrammetry; Industry; Part; CAD; Image sequence; Matching; Reconstruction; Measurement 0604
BibRef

Zheng, S.Y.[Shun-Yi], Zhai, R.F.[Rui-Fang], Zhang, Z.X.[Zu-Xun],
Generation of 3D Surface Model of Complex Objects Based on Non-Metric Camera,
ICIP07(III: 89-92).
IEEE DOI 0709
BibRef

Bellini, P., Bruno, I., Nesi, P.,
A distributed system for computer vision quality control of clinched boards,
RealTimeImg(10), No. 3, June 2004, pp. 161-176.
WWW Link. 0410
Clinching technology allows to join metal sheets by using a cold press. BibRef

Pernkopf, F.[Franz],
3D surface analysis using coupled HMMs,
MVA(16), No. 5, December 2005, pp. 298-305.
Springer DOI 0601
BibRef
Earlier:
3D surface inspection using coupled HMMs,
ICPR04(III: 223-226).
IEEE DOI 0409
BibRef

Li, D.G.[Dong-Guang],
Ballistics Projectile Image Analysis for Firearm Identification,
IP(15), No. 10, October 2006, pp. 2857-2865.
IEEE DOI 0609
BibRef

Li, D.G.[Dong-Guang],
Visual Information for Firearm Identification by Digital Holography,
Visual07(445-452).
Springer DOI 0706
BibRef

Khalili, K.[Khalil], Webb, P.[Philip],
The development and application of a multiple wavelength illumination technique for the vision-based process monitoring of aero-structure riveting,
MVA(18), No. 2, April 2007, pp. 73-83.
Springer DOI 0704
BibRef

Cao, J.H.[Jian-Hai], Lu, C.H.[Chang-Hou], Shi, C.Y.[Chun-Yi],
Product quality on-line inspecting for the pressed protuberant character on a metal tag,
IVC(25), No. 8, 1 August 2007, pp. 1255-1262.
WWW Link. 0706
Pressed protuberant character; Ring projection; Vector sum; Quality inspecting BibRef

Lin, H.D.[Hong-Dar],
Automated visual inspection of ripple defects using wavelet characteristic based multivariate statistical approach,
IVC(25), No. 11, 1 November 2007, pp. 1785-1801.
WWW Link. 0709
Detection of ripple defects; Machine vision; Hotelling T2 multivariate statistics; Wavelet characteristics BibRef

Liu, Z., Genest, M., Marincak, A., Forsyth, D.S.,
Characterization of surface deformation with the Edge of LightTM technique,
MVA(19), No. 1, January 2008, pp. 35-42.
Springer DOI 0801
Aircraft joint inspection where deformation is due to hidden corrosion. BibRef

Forsyth, D.S., Marincak, A., Komorowski, J.P.,
Edge of Light: A new enhanced optical NDI technique,
SPIE(2495), 1995, pp. 178-188. BibRef 9500

Caulier, Y.[Yannick], Spinnler, K.[Klaus], Bourennane, S.[Salah], Wittenberg, T.[Thomas],
New Structured Illumination Technique for the Inspection of High-Reflective Surfaces: Application for the Detection of Structural Defects without any Calibration Procedures,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
See also Visually Inspecting Specular Surfaces: A Generalized Image Capture and Image Description Approach. BibRef

Caulier, Y.[Yannick], Bourennane, S.[Salah],
Fourier-Based Inspection of Free-Form Reflective Surfaces,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Huang, Q., Wu, Y., Baruch, J., Jiang, P., Peng, Y.,
A Template Model for Defect Simulation for Evaluating Nondestructive Testing in X-Radiography,
SMC-A(39), No. 2, March 2009, pp. 466-475.
IEEE DOI 0903
BibRef

Fabijanska, A.[Anna], Sankowski, D.[Dominik],
Computer vision system for high temperature measurements of surface properties,
MVA(20), No. 6, October 2009, pp. xx-yy.
Springer DOI 0910
Deal with issues of high temperature. BibRef

Besnard, G.[Gilles], Lagrange, J.M.[Jean-Michel], Hild, F.[François], Roux, S.[Stéphane], Voltz, C.[Christophe],
Characterization of Necking Phenomena in High-Speed Experiments by Using a Single Camera,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
Metal strain analysis. BibRef

Duan, G.F.[Gui-Fang], Chen, Y.W.[Yen-Wei], Sukegawa, T.[Takeshi],
Automatic optical flank wear measurement of microdrills using level set for cutting plane segmentation,
MVA(21), No. 5, August 2010, pp. 667-676.
WWW Link. 1011
BibRef

Lughofer, E.[Edwin], Smith, J.E.[James E.], Tahir, M.A.[Muhammad Atif], Caleb-Solly, P.[Praminda], Eitzinger, C.[Christian], Sannen, D.[Davy], Nuttin, M.[Marnix],
Human-Machine Interaction Issues in Quality Control Based on Online Image Classification,
SMC-A(39), No. 5, September 2009, pp. 960-971.
IEEE DOI 0909
BibRef
Earlier: A6, A7, A2, A3, A4, A1, A5:
An On-Line Interactive Self-adaptive Image Classification Framework,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Lughofer, E.[Edwin],
On-line evolving image classifiers and their application to surface inspection,
IVC(28), No. 7, July 2010, pp. 1065-1079.
Elsevier DOI 1006
Evolving image classifiers; Incremental learning; Evolving vector quantization; Evolving fuzzy classifiers; On-line surface inspection systems BibRef

Eitzinger, C.[Christian], Gmainer, M.[Manfred], Heidl, W.[Wolfgang], Lughofer, E.[Edwin],
Increasing Classification Robustness with Adaptive Features,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Eitzinger, C.[Christian], Heidl, W., Lughofer, E., Raiser, S., Smith, J.E., Tahir, M.A., Sannen, D., van Brussel, H.,
Assessment of the influence of adaptive components in trainable surface inspection systems,
MVA(21), No. 5, August 2010, pp. 613-626.
WWW Link. 1011
BibRef

Raiser, S.[Stefan], Lughofer, E.[Edwin], Eitzinger, C.[Christian], Smith, J.E.[James Edward],
Impact of object extraction methods on classification performance in surface inspection systems,
MVA(21), No. 5, August 2010, pp. 627-641.
WWW Link. 1011
BibRef

Tabata, T.[Tomohira], Komuro, T.[Takashi], Ishikawa, M.[Masatoshi],
Surface image synthesis of moving spinning cans using a 1,000-fps area scan camera,
MVA(21), No. 5, August 2010, pp. 643-652.
WWW Link. 1011
Inspection based on mosaic creation for spinning cylinder. BibRef

Martin, D., Guinea, D.M., García-Alegre, M.C., Villanueva, E., Guinea, D.,
Multi-modal defect detection of residual oxide scale on a cold stainless steel strip,
MVA(21), No. 5, August 2010, pp. 653-666.
WWW Link. 1011
BibRef

Nakazawa, M.[Mitsuru], Kobayashi, M.[Masakazu], Toda, H.[Hiroyuki], Aoki, Y.[Yoshimitsu],
Proposal of a method to analyze 3D deformation/fracture characteristics inside materials based on a stratified matching approach,
MVA(21), No. 5, August 2010, pp. 687-694.
WWW Link. 1011
BibRef

Perng, D.B.[Der-Baau], Chen, Y.C.[Yen-Chung],
An advanced auto-inspection system for micro-router collapse,
MVA(21), No. 6, October 2010, pp. 811-824.
WWW Link. 1011
tool to cut PCB. BibRef

Carrasco, M.[Miguel], Mery, D.[Domingo],
Automatic multiple view inspection using geometrical tracking and feature analysis in aluminum wheels,
MVA(22), No. 1, January 2011, pp. 157-170.
WWW Link. 1101
BibRef

Mery, D.[Domingo], Riffo, V.[Vladimir], Zuccar, I.[Irene], Pieringer, C.[Christian],
Automated X-Ray Object Recognition Using an Efficient Search Algorithm in Multiple Views,
PBVS13(368-374)
IEEE DOI 1309
3D object recognition BibRef

Mery, D.[Domingo],
Automated detection in complex objects using a tracking algorithm in multiple X-ray views,
OTCBVS11(41-48).
IEEE DOI 1106
BibRef

Osman, A.[Ahmad], Kaftandjian, V.[Valerie], Hassler, U.[Ulf],
Improvement of X-ray castings inspection reliability by using Dempster-Shafer data fusion theory,
PRL(32), No. 2, 15 January 2011, pp. 168-180.
Elsevier DOI 1101
X-ray imaging; Castings inspection; Features extraction; Data fusion; Confidence levels; Dempster-Shafer theory BibRef

Davis, T.A.[Tyler A.], Shin, Y.C.[Yung C.],
Vision-based clad height measurement,
MVA(22), No. 1, January 2011, pp. 129-136.
WWW Link. 1101
Laser deposition process. How much is deposited. BibRef

Tellaeche, A., Arana, R.,
Three-dimensional machine vision and machine-learning algorithms applied to quality control of percussion caps,
IET-CV(5), No. 2, 2011, pp. 117-124.
DOI Link 1103
BibRef

Sridhar, V.G., Adithan, M.,
Evaluation of the surface finish of ground components and study on lighting conditions in machine vision system,
IJCVR(2), No. 2, 2011, pp. 141-155.
DOI Link 1109
BibRef

Brancaccio, A.[Adriana], Leone, G.[Giovanni], Solimene, R.[Raffaele],
Fault detection in metallic grid scattering,
JOSA-A(28), No. 12, December 2011, pp. 2588-2599.
WWW Link. 1112
BibRef

Bokhabrine, Y.[Youssef], Seulin, R.[Ralph], Voon, L.F.C.L.Y.[Lew F. C. Lew Yan], Gorria, P.[Patrick], Girardin, G.[Gouenou], Gomez, M.[Miguel], Jobard, D.[Daniel],
3D characterization of hot metallic shells during industrial forging,
MVA(23), No. 3, May 2012, pp. 417-425.
WWW Link. 1204
Using 2 ToF laser systems. BibRef

Leloglu, U.M.,
Characterisation of tool marks on cartridge cases by combining multiple images,
IET-IPR(6), No. 7, 2012, pp. 854-862.
DOI Link 1211
BibRef

Palani, S., Natarajan, U., Chellamalai, M.,
On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS),
MVA(24), No. 1, January 2013, pp. 19-32.
WWW Link. 1301
machining tools. BibRef

Sills, K.[Ken], Bone, G.M.[Gary M.], Capson, D.[David],
Defect identification on specular machined surfaces,
MVA(25), No. 2, February 2014, pp. 377-388.
WWW Link. 1412
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Zhao, X.Y.[Xin-Yue], He, Z.X.[Zai-Xing], Zhang, S.Y.[Shu-You],
Defect detection of castings in radiography images using a robust statistical feature,
JOSA-A(31), No. 1, January 2014, pp. 196-205.
DOI Link 1412
Image analysis; Defect understanding BibRef

Ali, M.H.[M. Hazrat], Kurokawa, S.[Syuhei], Uesugi, K.[Kensuke],
Application of machine vision in improving safety and reliability for gear profile measurement,
MVA(25), No. 6, 2014, pp. 1549-1559.
WWW Link. 1408
BibRef

Shreve, M.[Matthew], Pamplona, M.[Mauricio], Luguev, T.[Timur], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep],
High-resolution 3D surface strain magnitude using 2D camera and low-resolution depth sensor,
PRL(50), No. 1, 2014, pp. 34-42.
Elsevier DOI 1410
3-D BibRef

Neogi, N.[Nirbhar], Mohanta, D.[Dusmanta], Dutta, P.[Pranab],
Review of vision-based steel surface inspection systems,
JIVP(2014), No. 1, 2014, pp. 50.
DOI Link 1411
BibRef

Xu, K.[Ke], Liu, S.[Shunhua], Ai, Y.[Yonghao],
Application of Shearlet transform to classification of surface defects for metals,
IVC(35), No. 1, 2015, pp. 23-30.
Elsevier DOI 1503
Surface inspection BibRef

Li, X.W.[Xiao-Wen], Li, P.[Ping], Lin, Z.[Zhuang], Yang, D.M.[Dong-Mei],
Analysis and Optimization of Composite to Steel Joints for Ships,
Sensors(182), No. 11, November 2014, pp. 10-16.
HTML Version. 1504
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Wang, L.[Lei], Zhang, W.[Wei], Zhang, J.C.[Jian-Cheng], Weng, J.J.[Jian-Jian], He, S.[Shan],
Visual Inspection for Breakage of Micro-milling Cutter,
Sensors(182), No. 11, November 2014, pp. 217-222.
HTML Version. 1504
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Fernández-Robles, L.[Laura], Azzopardi, G.[George], Alegre, E.[Enrique], Petkov, N.[Nicolai],
Cutting Edge Localisation in an Edge Profile Milling Head,
CAIP15(II:336-347).
Springer DOI 1511
BibRef

Liu, M.[Maofu], Liu, Y.[Ya], Hu, H.J.[Hui-Jun], Nie, L.Q.[Li-Qiang],
Genetic algorithm and mathematical morphology based binarization method for strip steel defect image with non-uniform illumination,
JVCIR(37), No. 1, 2016, pp. 70-77.
Elsevier DOI 1603
Strip steel defect image BibRef

Funes, J.F.[José Félix], Perales, J.M.[José Manuel], Rapún, M.L.[María-Luisa], Vega, J.M.[José Manuel],
Defect Detection from Multi-frequency Limited Data via Topological Sensitivity,
JMIV(55), No. 1, May 2016, pp. 19-35.
Springer DOI 1604
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Kaloop, M.R.[Mosbeh R.], Hu, J.W.[Jong Wan], Elbeltagi, E.[Emad],
Time-Series and Frequency-Spectrum Correlation Analysis of Bridge Performance Based on a Real-Time Strain Monitoring System,
IJGI(5), No. 5, 2016, pp. 61.
DOI Link 1606
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Hung, T.Y.[Tzu-Yi], Vaikundam, S.[Sriram], Natarajan, V.[Vidhya], Chia, L.T.[Liang-Tien],
Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity,
MMMod17(I: 290-302).
Springer DOI 1701
BibRef

Vaikundam, S., Hung, T.Y., Chia, L.T.,
Anomaly region detection and localization in metal surface inspection,
ICIP16(759-763)
IEEE DOI 1610
Decision support systems BibRef

Watcharopas, C.[Chakrit], Sapra, Y.[Yash], Geist, R.[Robert], Levine, J.A.[Joshua A.],
Extracting Surface Geometry from Particle-Based Fracture Simulations,
ISVC15(I: 82-91).
Springer DOI 1601
BibRef

Balle, F.[Frank], Eifler, D.[Dietmar], Fitschen, J.H.[Jan Henrik], Schuff, S.[Sebastian], Steidl, G.[Gabriele],
Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals,
SSVM15(385-396).
Springer DOI 1506
BibRef

Florian, D., Sonnleithner, L., Zagar, B.G.,
Determining copper surface change ratio of conduction path by using image processing,
IPTA14(1-6)
IEEE DOI 1503
copper BibRef

Yamashita, N.[Norio], Yoshizawa, S.[Shin], Yokota, H.[Hideo],
Volume-based shape analysis for internal microstructure of steels,
ICIP14(4887-4891)
IEEE DOI 1502
Fatigue BibRef

Soukup, D., Huber-Mörk, R.,
Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images,
ISVC14(I: 668-677).
Springer DOI 1501
BibRef

MacDonald, L., Hindmarch, J., Robson, S., Terras, M.,
Modelling the appearance of heritage metallic surfaces,
CloseRange14(371-377).
DOI Link 1411
BibRef

Freye, C.[Christian], Bendicks, C.[Christian], Lilienblum, E.[Erik], Al-Hamadi, A.[Ayoub],
Multiple Camera Approach for SLAM Based Ultrasonic Tank Roof Inspection,
ICIAR14(II: 453-460).
Springer DOI 1410
BibRef

Akhloufi, M.[Moulay], Benmesbah, N.[Nassim],
Outdoor Ice Accretion Estimation of Wind Turbine Blades Using Computer Vision,
CRV14(246-253)
IEEE DOI 1406
Blades BibRef

Zhao, F.[Fei], Mendonca, P.R.S.[Paulo R.S.], Yu, J.[Jie], Kaucic, R.[Robert],
Learning-based automatic defect recognition with computed tomographic imaging,
ICIP13(2762-2766)
IEEE DOI 1412
ADR;Aluminum Casting Defects;CT BibRef

Ducato, A.[Antonino], Fratini, L.[Livan], Cascia, M.L.[Marco La],
An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy,
CAIP13(II:362-369).
Springer DOI 1311
BibRef

Juan, C., William, C., David, M., George, A., Delgado, G., Vladimir, D.,
Automatic ship hull inspection using fuzzy logic,
AIPR12(1-5)
IEEE DOI 1307
fuzzy logic BibRef

Radu-Eugen, B.[Breaz], Sorin, T.[Tarnovean], Cristina, B.[Biris], Octavian-Constantin, B.[Bologa],
Improving the dynamic behavior and working accuracy of the CNC laser cutting machines,
ICARCV12(1642-1647).
IEEE DOI 1304
BibRef

Sato, R.[Ryoichi], Kato, K.[Kunihito], Harada, K.[Kouta],
Development of the hole position inspection system of pressed car parts by using laser 3-d measurement,
FCV13(317-322).
IEEE DOI 1304
BibRef

Vigneswaran, C., Madhu, M., Rajamani, R.,
Inspection and error analysis of Geneva gear on machine vision system using Sherlock™ and VB 6.0 Algorithm,
IMVIP12(193-196).
IEEE DOI 1302
BibRef

Gopan, V.[Vipin], Ragavanantham, S., Sampathkumar, S.,
Condition monitoring of grinding process through machine vision system,
IMVIP12(177-180).
IEEE DOI 1302
BibRef

Viitanen, T.[Timo], Kolehmainen, J.[Jari], Piché, R.[Robert], Okamoto, Y.[Yasuhiro],
Spatter Tracking in Laser Machining,
ISVC12(II: 626-635).
Springer DOI 1209
BibRef

Avsar, E.O., Altan, M.O., Dogan, U.A., Akca, D.,
Determining Pull-Out Deformations of Bonded Metal Anchors Embedded In Concrete by Means of Photogrammetry,
ISPRS12(XXXIX-B5:5-8).
DOI Link 1209
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IASP11(155-158).
IEEE DOI 1112
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Tang, X.N.[Xiang-Na], Wang, Y.N.[Yao-Nan],
Visual inspection of workpiece quality,
IASP11(434-438).
IEEE DOI 1112
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Fingerprints for Machines: Characterization and Optical Identification of Grinding Imprints,
DAGM11(276-285).
Springer DOI 1109
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Belton, D.[David], Gibson, A.[Aaron], Stansby, B.[Bruce], Tingay, S.[Steven], Bae, K.H.[Kwang-Ho],
Modelling of an Inexpensive 9M Satellite Dish from 3D Point Clouds Captured By Terrestrial Laser Scanners,
Laser11(xx-yy).
DOI Link 1109
Detailed shape analysis -- is it a parabola, or how has it changed. BibRef

Borsu, V.[Valentin], Payeur, P.[Pierre],
Robotic Tracking and Marking of Surface Shape Defects on Moving Automotive Panels,
CRV11(56-63).
IEEE DOI 1105
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Kaviti, A.K.[Ajay Kumar], Pathak, K.K., Hora, M.S.,
Application of Neural Networks in Preform Design of Aluminium Upsetting Process Considering Different Interfacial Frictional Conditions,
PReMI09(98-105).
Springer DOI 0912
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Liu, W.L.[Wei-Ling], Liu, L.B.[Li-Bing], Zhang, H.M.[Hong-Mei], Yang, Z.Q.[Ze-Qing],
Research of Tool Wear Predictive Technique Based on Support Vector Machine,
CISP09(1-3).
IEEE DOI 0910
BibRef

Li, H.[Hui], Fu, L.H.[Li-Hui], Li, Z.[Zhentao],
Gear Fault Detection Using Angle Domain Average and Hilbert-Huang Transform Phase Map,
CISP09(1-5).
IEEE DOI 0910
BibRef

Fu, L.H.[Li-Hui], Li, H.[Hui],
Gear Fault Diagnosis Based on Order Tracking and Degree of Cyclostationarity,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, L.[Li], Li, B.[Bing], Shen, Y.L.[Yi-Lin],
Electric Heating Cable Fault Testing System Based on Wavelet Packet and RBF Neural Network,
CISP09(1-4).
IEEE DOI 0910
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Marot, J.[Julien], Bourennane, S.[Salah], Spinnler, K.[Klaus],
Metal surface control system based on successive contour estimation,
ICIP10(2293-2296).
IEEE DOI 1009
BibRef

Mumtaz, M.[Mustafa], Mansoor, A.B.[Atif Bin], Masood, H.[Hassan],
A New Approach to Aircraft Surface Inspection Based on Directional Energies of Texture,
ICPR10(4404-4407).
IEEE DOI 1008
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Cefalu, A., Böhm, J.,
Development Of A Robot Guided Optical Multisensory System For Inline Inspection Of Cylinder Heads,
CloseRange10(xx-yy).
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Rauch, L.[Lukasz], Madej, L.[Lukasz], Pawlowski, B.[Bogdan],
Numerical Simulations of Hypoeutectoid Steels under Loading Conditions, Based on Image Processing and Digital Material Representation,
CompIMAGE10(221-230).
Springer DOI 1006
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Alegre, E.[Enrique], Alaiz-Rodríguez, R.[Rocío], Barreiro, J.[Joaquín], Fidalgo, E.[Eduardo], Fernández, L.[Laura],
Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks,
CompIMAGE10(231-241).
Springer DOI 1006
BibRef

Savran, Y.[Yigitcan], Gunsel, B.[Bilge],
Novelty Detection on Metallic Surfaces by GMM Learning in Gabor Space,
ICIAR10(II: 325-334).
Springer DOI 1006
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Germani, M.[Michele], Mengoni, M.[Maura], Raffaeli, R.[Roberto],
Automation of 3D view acquisition for geometric tolerances verification,
3DIM09(1710-1717).
IEEE DOI 0910
Inspection of mechanical components. BibRef

Jaramillo, A.E.[Andres E.], Boulanger, P.[Pierre], Prieto, F.[Flavio],
On-line 3-D inspection of deformable parts using FEM trained radial basis functions,
3DIM09(1733-1739).
IEEE DOI 0910
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Gallego-Sanchez, J.[Javier], Calera-Rubio, J.[Jorge],
Improving edge detection in highly noised sheet-metal images,
WACV09(1-6).
IEEE DOI 0912
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Usamentiaga, R.[Rubén], Molleda, J.[Julio], García, D.F.[Daniel F.], Bulnes, F.G.[Francisco G.],
Machine Vision System for Flatness Control Feedback,
ICMV09(105-110).
IEEE DOI 0912
metal quality control. BibRef

Polišcuk, R.[Radek],
Image Processing Methods Applied in Mapping of Lubrication Parameters,
ISVC09(II: 1011-1020).
Springer DOI 0911
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Silva, J.[Jayant], Dana, K.J.[Kristin J.],
Color Matching for Metallic Coatings,
ISVC09(II: 335-344).
Springer DOI 0911
BibRef

Sun, Z.Y.[Zhao-Yun], Wang, C.F.[Chao-Fan], Sha, A.M.[Ai-Min], Chen, K.[Kai],
Image-Based Molding Effect Analysis of HWTD Sample,
CISP09(1-4).
IEEE DOI 0910
BibRef

Min, Y.[Yang], Li, M.[Mou],
Striation Patterns Classification of Tool Marks Based on Morphological Structure Features,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, S.K.[Shu-Kui], Nie, S.M.[Shao-Min],
Image Segmentation Method of Heavy Forgings Based on Genetic Algorithm,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, X.C.[Xin-Cheng], Cai, W.[Wang], Zhu, W.X.[Wei-Xing], Zhang, Z.Y.[Zhao-Yang], Xun, B.[Bin],
The Research on Measuring Analysis and Prediction of the Nanoscale Precipitated Phase in Steel,
CISP09(1-4).
IEEE DOI 0910
BibRef

Ma, H.[Hui], Sun, W.[Wei], Ren, Z.H.[Zhao-Hui], Wen, B.C.[Bang-Chun],
Feature Extraction of Rotor Systems with Coupling Fault with Crack and Rub-Impact,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, X.C.[Xin-Cheng], Ding, F.[Fei], Zhang, Z.Y.[Zhao-Yang], Zhu, W.X.[Wei-Xing], Liu, D.[Dan],
Ultra-Fine Grain Steel's Metallurgical Image Restoration Method Based on Improved Water-Growing,
CISP09(1-4).
IEEE DOI 0910
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Hong, Z.[Zhao],
Research on Automatic Inspection and Classification for Middle Thickness Pb Alloy Castings Based on Machine Vision Recognition Technology,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, X.C.[Xin-Cheng], Wang, X.L.[Xin-Liang], Zhu, W.X.[Wei-Xing], Zhang, Z.Y.[Zhao-Yang],
Research on Measurement and Classification System Design and Application about Ultra Steel Dimple,
CISP09(1-4).
IEEE DOI 0910
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Feng, Z.P.[Zhi-Peng], Hao, R.J.[Ru-Jiang], Chu, F.L.[Fu-Lei],
Application of Cyclic Correlation Analysis to Gearbox Damage Assessment,
CISP09(1-5).
IEEE DOI 0910
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Wang, Z.Q.[Zhi-Qiang], Xu, Y.X.[Yu-Xiu], Mei, Y.Y.[Yuan-Ying],
Damage Diagnosis for Wind Turbine Blades Based on the Shifting Distance of Characteristic Frequency,
CISP09(1-3).
IEEE DOI 0910
BibRef

Zhang, H.G.[Hai-Guang], Hu, Q.X.[Qing-Xi], Liu, Y.Y.[Yuan-Yuan], Wang, J.W.[Jia-Wei], Chi, Z.F.[Zhao-Fu], Huang, J.[Jie],
On-Line Bubble Inspection Method for Automated Vacuum Casting Controlling System,
CISP09(1-5).
IEEE DOI 0910
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Inspection of Stamped Sheet Metal Car Parts Using a Multiresolution Image Fusion Technique,
CVS09(345-353).
Springer DOI 0910
BibRef

Dragon, R.[Ralf], Becker, C.[Christian], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Reading from Scratch: A Vision-System for Reading Data on Micro-structured Surfaces,
DAGM09(402-411).
Springer DOI 0909
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HMM-Based Defect Localization in Wire Ropes: A New Approach to Unusual Subsequence Recognition,
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Chuang, H.C.A.[Hsiao-Chi-Ang], Huffman, L.M.[Landis M.], Comer, M.L.[Mary L.], Simmons, J.P.[Jeff P.], Pollak, I.[Ilya],
An automated segmentation for nickel-based superalloy,
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IEEE DOI 0810
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Huber-Mörk, R., Zaharieva, M., Czedik-Eysenberg, H.,
Numismatic Object Identification Using Fusion of Shape and Local Descriptors,
ISVC08(II: 368-379).
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Amini, A.S., Varshosaz, M., Saadatseresht, M.,
Deformation Determination of Aircraft Parts by Photogrammetry,
ISPRS08(B5: 135 ff).
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Jung, S.H., Yu, J.H., Ge, L., Lee, J.K.,
Automatic Modelling Method for Steel Structures Using Photogrammetry,
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PDF File. 0807
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Alegre, E.[Enrique], Barreiro, J.[Joaquín], Castejón, M.[Manuel], Suarez, S.[Sir],
Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes,
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Wu, P.H.[Ping-Han], Li, Y.W.[Yu-Wei], Chu, C.H.[Chih-Hsing],
Tool Path Planning for 5-Axis Flank Milling Based on Dynamic Programming Techniques,
GMP08(xx-yy).
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Zhang, X.[Xi], Tian, X.D.[Xiao-Dong], Yamazaki, K.[Kazuo], Fujishima, M.[Makoto],
3D Reconstruction and Pose Determination of the Cutting Tool from a Single View,
ISVC07(II: 377-386).
Springer DOI 0711
BibRef

da Silva, R.R.[Romeu Ricardo], Mery, D.[Domingo],
Accuracy Estimation of Detection of Casting Defects in X-Ray Images Using Some Statistical Techniques,
PSIVT07(639-650).
Springer DOI 0712
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Benesova, W., Rinnhofer, A., Jakob, G.,
Determining the Average Grain Size of Super-Alloy Micrographs,
ICIP06(2749-2752).
IEEE DOI 0610
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Rinnhofer, A.[Alfred], Benesova, W.[Wanda], Jakob, G.[Gerhard], Stockinger, M.[Manfred],
Feature Extraction from Micrographs of Forged Nickel Based Alloy,
ICPR06(II: 391-394).
IEEE DOI 0609
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Gayubo, F.[Fernando], Gonzalez, J.L.[Jose L.], de la Fuente, E.[Eusebio], Miguel, F.[Félix], Peran, J.R.[Jose R.],
On-line machine vision system for detect split defects in sheet-metal forming processes,
ICPR06(I: 723-726).
IEEE DOI 0609
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Claes, K., Koninckx, T.P., Bruyninckx, H.,
Automatic burr detection on surfaces of revolution based on adaptive 3D scanning,
3DIM05(212-219).
IEEE DOI 0508
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Reindl, I.[Ingo], O'Leary, P.[Paul],
Geometric Surface Inspection of Raw Milled Steel Blocks,
ICIAR04(II: 849-856).
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Hernández, S.[Sergio], Sáez, D.[Doris], Mery, D.[Domingo],
Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings,
ICIAR04(II: 826-833).
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Mery, D.[Domingo],
Crossing Line Profile: A New Approach to Detecting Defects in Aluminium Die Casting,
SCIA03(725-732).
Springer DOI 0310
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Varma, S., Baras, I.S.,
Tool wear estimation from acoustic emissions: A model incorporating wear-rate,
ICPR02(I: 492-495).
IEEE DOI 0211
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González, R.C.[Rafael C.], Valdés, R.[Raul], Cancelas, J.A.[Jose A.],
Vision Based Measurement System to Quantify Straightness Defect in Steel Sheets,
CAIP01(427 ff.).
Springer DOI 0210
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Wade, P.[Paul], Moran, D.[David], Graham, J.[Jim], Jackson, C.B.[C. Brook],
Robust and Accurate 3D Measurement of Formed Tube Using Trinocular Stereo Vision,
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Mian, Z., Kassim, A.A., Mannan, M.A.,
Texture Anaysis of Machined Surfaces using a new Hough Transform,
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Zhou, J., Xin, L.P., Gao, D.S., Zhang, C.S., Zhang, D.,
Automated Cartridge Identification for Firearm Authentication,
CVPR01(I:749-754).
IEEE DOI 0110
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Robertson, C., Fisher, R.B.,
Shape Recovery and Analysis of Large Screw Threads,
3DIM01(300-305).
IEEE DOI BibRef 0100 Edinburgh 0106
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Derganc, J., Pernus, F.,
A Machine Vision System for Inspecting Bearings,
ICPR00(Vol IV: 752-755).
IEEE DOI 0009
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Lilienblum, T., Albrecht, P., Calow, R., Michaelis, B.,
Dent Detection in Car Bodies,
ICPR00(Vol IV: 775-778).
IEEE DOI 0009
Structured light. BibRef

Kyrki, V., Kälviäinen, H.,
High Precision 2-d Geometrical Inspection,
ICPR00(Vol IV: 779-782).
IEEE DOI 0009
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Chivers, K., Clocksin, W.,
Inspection of Surface Strain in Materials using Optical Flow,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Komenda, J.,
Applications of Image Analysis in Quantitative Metallography,
SSAB97(Image Processing) 9703
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Ancis, M., Campus, A., Giusto, D.D., Tintrup, F.,
XR-US Data Fusion for Non-destructive Evaluation of Steel Components,
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Livens, S.[Stefan], Scheunders, P.[Paul], van de Wouwer, G.[Gert], van Dyck, D.[Dirk], Smets, H.[Hilde], Winkelmans, J.[Johan], Bogaerts, W.[Walter],
Classification of corrosion images by wavelet signatures and LVQ networks,
CAIP95(538-543).
Springer DOI 9509
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Dinten, J.M., Dziopa, P., Koenig, A.,
X-rays image analysis for defects detection and characterization in metallic samples,
ICIP94(II: 321-325).
IEEE DOI 9411
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Dias, A.F., de Albuquerque Araújo, A.[Arnaldo], Crispim, V.R.,
Aluminum corrosion detection by using a neutron radiographic image analyzer,
ICIP94(II: 316-320).
IEEE DOI 9411
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Tuzikov, A., Soille, P., Jeulin, D., Bruneel, H., Vermeulen, M.,
Extraction of Grid Patterns on Stamped Metal Sheets Using Mathematical Morphology,
ICPR92(I:425-428).
IEEE DOI BibRef 9200

Maliniemi, H., Ailisto, H., Hakalahti, H.,
Vision system for turbine inspection,
ICPR88(II: 1202-1206).
IEEE DOI 8811
BibRef

Zavidovique, B., Merlo, X., and Foulloy, L.,
Hey Robot... Looking for Cones?,
CVPR85(379-381). (ADERP/ECTA) To find conical metal shapes, real time implementation. BibRef 8500

Mundy, J.L., Porter, III, G.B.,
Visual Inspection of Metal Surfaces,
ICPR80(232-237). BibRef 8000

Horaud, R., Charras, J.P.,
Automatic Inspection and Orientation of External Screws,
ICPR80(264-268). BibRef 8000

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Inspection -- Metal, Coins .


Last update:Mar 13, 2017 at 16:25:24