B. Figure, 1 ? Image synthétique segmentée 4.7a par application de plusieurs pré-traitements successifs B.2 Résultat de segmentation de l'objet 4.7b (a) 4.7b en niveaux de gris (b) 4.7b binarisée (c) 4, 7b après fermeture avec un disque de taille 15 (d) 4.7b après remplissage des trous (e) 4.7b contour extérieur de l'objet (f ) 4.7b régions internes (g) 4.7b image finale segmentée

B. Figure, 6 ? Image synthétique segmentée par application de plusieurs pré-traitements successifs B.7 Résultat de segmentation de l'objet 4.7g (a) 4.7g en niveaux de gris (b) 4.7g binarisée (c) 4, 7g après fermeture avec un disque de taille 15 (d) 4.7g après remplissage des trous (e) 4.7g contour extérieur de l'objet (f ) 4.7g régions internes (g) 4.7g image finale segmentée

. Alahi, 7g segmentée par application de plusieurs pré-traitements successifs FREAK : Fast Retina Keypoint, Figure B.7 ? Image synthétique 4 Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference, pp.510-517, 2012.
DOI : 10.1109/cvpr.2012.6247715
URL : https://infoscience.epfl.ch/record/175537/files/2069.pdf

. Baggio, Mastering OpenCV with Practical Computer Vision Projects, pp.27-52, 2012.

L. Bai, Path similarity skeleton graph matching. Pattern Analysis and Machine Intelligence Wide-baseline stereo matching with line segments SURF : Speeded Up Robust Features Inexact Graph Matching Using Estimation of Distribution Algorithms, Cité page 81.) [Bay et al.Cité page 24.) [Bengoetxea, pp.1282-1292, 2002.

. Bilal, A new chain-processing-based computer vision system for automatic checking of machining set-up application for machine tools safety, The International Journal of Advanced Manufacturing Technology, pp.1-22, 2015.

. Bouguet and . Jean-yves-bouguet-france, Camera calibration toolbox for matlab. (Cité page 145 Alignement d'Objets Mécaniques Complexes par Vision Monoculaire Pattern Recognition in Computer Integrated Manufacturing, Journal of Electrical Engineering, vol.57, pp.28-35, 2006.

H. Briechle, U. D. Briechle, and . Hanebeck, Template matching using fast normalized cross correlation, Optical Pattern Recognition XII, 2001.
DOI : 10.1117/12.421129
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.182

. Bruna, Forgery Detection and Value Identification of Euro Banknotes, Sensors, vol.9, issue.2, pp.1-15, 2013.
DOI : 10.3390/s90301692
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649387

. Bukovec, Automated visual inspection of imprinted pharmaceutical tablets, Measurement Science and Technology, vol.18, issue.9, pp.2921-2930, 2007.
DOI : 10.1088/0957-0233/18/9/023
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.4174&rep=rep1&type=pdf

H. Bunke, Graph matching : Theoretical foundations, algorithms, and applications BRIEF : Binary Robust Independent Elementary Features, International Conference on Vision Interface. (Cité page 66.) [Calonder European Conference on Computer Vision, p.2010, 2000.

. Canclini, Evaluation of low-complexity visual feature detectors and descriptors, 2013 18th International Conference on Digital Signal Processing (DSP), 2013.
DOI : 10.1109/ICDSP.2013.6622757

. Chuang, Misalignment inspection of multilayer PCBs with an automated X-ray machine vision system, The International Journal of Advanced Manufacturing Technology, vol.24, issue.14, pp.995-1008, 2010.
DOI : 10.1016/S0167-8655(02)00287-8

J. Robert and . Cimikowski, Properties of some euclidean proximity graphs, Pattern Recognition Letters, vol.13, pp.417-423, 1992.

L. Correa, Locallyscaled spectral clustering using empty region graphs, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.1330-1338, 2012.
DOI : 10.1145/2339530.2339736
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.7332

. Cubero, Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables, Food and Bioprocess Technology, vol.25, issue.5, pp.487-504, 2011.
DOI : 10.13031/2013.28845

T. Dalal, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.2-26, 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

. Datta, Accurate camera calibration using iterative refinement of control points, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.1201-1208, 2009.
DOI : 10.1109/ICCVW.2009.5457474
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.37

]. E. Davies, Computer and Machine Vision : Theory, Algorithms,Practicalities, 2012.

. Dubey, An overview on : Image alignment and open issues, International Journal of Advanced Research in Computer Science and Software Engineering, pp.2-73, 2012.

H. Duda, O. Richard, P. E. Duda, and . Hart, Use of the Hough transformation to detect lines and curves in pictures, Communications of the ACM, vol.15, issue.1, pp.11-15, 1972.
DOI : 10.1145/361237.361242

]. Ferreira, Visum summer school, Atmosfera-M, 2015.

. Fishkel, Verification of Engineering Models Based on Bipartite Graph Matching for Inspection Applications, LNCS, vol.4077, pp.485-499, 2006.
DOI : 10.1007/11802914_34

. Gangodkar, Efficient Variable Size Template Matching Using Fast Normalized Cross Correlation on Multicore Processors, ADCONS LNCS, vol.7135, pp.218-227, 2012.
DOI : 10.1007/978-3-642-29280-4_26

. García, Learning Image Processing with OpenCV, 2015.

A. Golnabi, A. Golnabi, and . Asadpour, Design and application of industrial machine vision systems, Robotics and Computer-Integrated Manufacturing, vol.23, issue.6, pp.630-637, 2007.
DOI : 10.1016/j.rcim.2007.02.005

. Goodfellow, Deep learning. Book in preparation for Mastering Machine Learning with scikit-learn, Cité page 32.) [Hackeling, 2014] Gavin Hackeling, pp.30-32, 2014.

. Heinly, Comparative Evaluation of Binary Features, 2012.
DOI : 10.1007/978-3-642-33709-3_54

. Hittawe, A machine vision based approach for timber knots detection, Twelfth International Conference on Quality Control by Artificial Vision, Proc. of SPIE, pp.95340-95341, 2015.
DOI : 10.1117/12.2182770

M. Hong-seok, Development of an Inspection System for Defect Detection in Pressed Parts Using Laser Scanned Data, 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, pp.931-936, 2014.
DOI : 10.1016/j.proeng.2014.03.072

B. Hutter, Matching 2-D ellipses to 3-D circles with application to vehicle pose identification, 2009 24th International Conference Image and Vision Computing New Zealand, pp.153-158, 2009.
DOI : 10.1109/IVCNZ.2009.5378421
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.5579

. Jovancevic, Automated visual inspection of an airplane exterior, pp.95340-95341, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01351735

. Jovancevic, Matching CAD model and image features for robot navigation and inspection of an aircraft, Fifth International Conference on Pattern Recognition Applications and Methods, pp.14-124, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01353317

R. Klette, Concise Computer Vision : An Introduction into Theory and Algorithms, pp.27-32, 2014.
DOI : 10.1007/978-1-4471-6320-6

. Kohandani, A fast algorithm for template matching. ICIAR, LNCS, vol.4142, issue.22, pp.398-409, 2006.

T. Kokila, P. Kokila, and . Thangavel, FFT based image registration using corner response, International Journal of Computer Science and Electronics Engineering, pp.1-74, 2013.

. Konishi, Fast and precise template matching based on oriented gradients OpenCV 2 Computer Vision Application Programming Cookbook, Cité page 21.) [Laganière, 2011] Robert Laganière, pp.607-610, 2011.
DOI : 10.1007/978-3-642-33885-4_63

. Leutenegger, BRISK : Binary Robust Invariant Scalable Keypoints Introduction au traitement d'images : chapitre 5, transformations géométriques, Computer Vision (ICCV), 2011 IEEE International ConferenceCité page 25.) [Lingrand, pp.2548-2555, 2010.
DOI : 10.1109/iccv.2011.6126542
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.1343

. Wang, On the euclidean distance of images Pattern Analysis and Machine Intelligence. (Cité page 49.) [Lourakis, 1997] Manolis I. A. Lourakis Establishing straight line correspondence, IEEE Transactions, pp.1-14, 1997.

]. D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

. Malamas, A survey on industrial vision systems, applications and tools, Image and Vision Computing, vol.21, issue.2, pp.171-188, 2003.
DOI : 10.1016/S0262-8856(02)00152-X

. Malinsky, Registration of FA and T1-Weighted MRI Data of Healthy Human Brain Based on Template Matching and Normalized Cross-Correlation, Journal of Digital Imaging, vol.30, issue.10, 2012.
DOI : 10.1016/j.patrec.2009.03.015

C. Martin, Comparison of correlation techniques. Intelligent Autonomous Systels Robust widebaseline stereo from maximally stable extremal regions, Karlsruhe. Image Vision Comput, vol.22, pp.761-767, 1995.

M. Mcintosh, H. James, K. M. Mcintosh, and . Mutch, Matching straight lines. Computer Vision, Graphics and Image Processing, pp.386-408, 1988.

A. Robert and . Mclaughlin, Randomized Hough Transform : Improved ellipse detection with comparison, Pattern Recognition Letters, vol.19, pp.299-305, 1998.

C. Mery, Advances in image and video technology : Advances on automated multiple view inspection, Lecture Notes in Computer Science, vol.4872, pp.513-522, 2006.
DOI : 10.1007/978-3-540-77129-6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.5415

S. Mikolajczyk, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227

M. Miksik, Evaluation of local detectors and descriptors for fast feature matching, International Conference on Pattern Recognition, 2012.

. Modayur, Visual inspection of machined parts, Computer Vision and Pattern Recognition, 1992.
DOI : 10.1007/978-3-642-58288-2_12

. Mozina, Miha Mozina, Dejan Tomazevic, Franjo Pernus, and Bostjan Likar (2013) Automated visual inspection of imprint quality of pharmaceutical tablets. Machine Vision and Applications, pp.63-73, 2013.

L. Muja, D. G. Muja, and . Lowe, Fast approximate nearest neighbors with automatic algorithm configuration, Conference on Computer Vision Theory and Application VISSAPP 09, pp.331-340, 2009.

L. Muja, M. Muja, and D. G. Lowe, Fast Matching of Binary Features, 2012 Ninth Conference on Computer and Robot Vision, p.26, 2012.
DOI : 10.1109/CRV.2012.60
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.4502

D. M. Murty, V. Murty, and . Devi, Pattern Recognition , An Algorithmic Approach, pp.29-30, 2011.

J. Newman, A system for 3D CAD-based inspection using range images, Pattern Recognition, vol.28, issue.10, 1994.
DOI : 10.1016/0031-3203(95)00028-X

J. Newman, A Survey of Automated Visual Inspection, Computer Vision and Image Understanding, vol.61, issue.2, pp.61-67, 1995.
DOI : 10.1006/cviu.1995.1017

. Nguyen, A real-time ellipse detection based on edge grouping, 2009 IEEE International Conference on Systems, Man and Cybernetics, pp.3280-3286, 2009.
DOI : 10.1109/ICSMC.2009.5346226

A. Nixon, S. Mark, A. S. Nixon, and . Aguado, Feature Extraction and Image Processing 2nd edition, 5.3 Template Matching Minimum paired-dominating set in chordal bipartite graphs and perfect elimination bipartite graphs, ) [Panda and Pradhan, 2013] B.S. Panda and D. Pradhan, pp.770-785, 2008.

. Patraucean, A Parameterless Line Segment and Elliptical Arc Detector with Enhanced Ellipse Fitting, Proceedings of the 12th European Conference on Computer Vision, Part II, pp.572-585, 2012.
DOI : 10.1007/978-3-642-33709-3_41

. Perng, Automated SMD LED inspection using machine vision, The International Journal of Advanced Manufacturing Technology, vol.2, issue.1, pp.1065-1077, 2011.
DOI : 10.1109/TSMC.1979.4310076

. Prasad, ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method, Pattern Recognition, vol.46, issue.5, pp.1449-1465, 2013.
DOI : 10.1016/j.patcog.2012.11.007

. Prieto, An Automated Inspection System, The International Journal of Advanced Manufacturing Technology, vol.19, issue.12, pp.917-925, 2002.
DOI : 10.1007/s001700200104
URL : https://hal.archives-ouvertes.fr/hal-00179676

G. Grompone-von, LSD: a Line Segment Detector, Image Processing On Line, 2012.
DOI : 10.5201/ipol.2012.gjmr-lsd

C. S. Reddy, B. N. Reddy, and . Chatterji, An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Transactions on Image Processing, vol.5, issue.8, pp.1266-1271, 1996.
DOI : 10.1109/83.506761

. Richert, W. Coelho, L. P. Richert, and . Coelho, Building Machine Learning Systems with Python, 2013.

M. Roberto and . Cesar-jr, Inexact graph matching for model-based recognition : Evaluation and comparison of optimization algorithms, Pattern Recognition, vol.38, issue.86, pp.2099-2113, 2005.

P. Rosenfeld, J. L. Rosenfeld, and . Pfaltz, Distance functions on digital pictures, Pattern Recognition, vol.1, issue.1, pp.33-61, 1968.
DOI : 10.1016/0031-3203(68)90013-7

D. Rosten, T. Rosten, and . Drummond, Machine Learning for High-Speed Corner Detection, European Conference on Computer Vision, pp.1-26, 2006.
DOI : 10.1109/ICNN.1995.489004
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3991

. Rublee, ORB: An efficient alternative to SIFT or SURF, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126544
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.4395

S. Shapiro, G. Shapiro, and . Stockman, Computer Vision, chapter 11 : Matching in 2D, chapter 13 : Sensing and objet pose computation, 2001.

. Shokoufandeh and . Dickinson, Applications of bipartite matching to problems in object recognition, Proceedings of ICCV on Graph Algorithm and Computer Vision. (Cité pages 66 et, 1999.

. Smriti, Image registration using rigid registration and maximization of mutual information . Poster presented at : MMVR13. The 13th Annual Medicine Meets Virtual Reality Conference, 2005.

. Soto, Cocoa bean quality assessment by using hyperspectral images and fuzzy logic techniques, Twelfth International Conference on Quality Control by Artificial Vision, Proc. of SPIE, pp.95340-95341, 2015.
DOI : 10.1117/12.2182598

M. Stefano, Fast template matching using bounded partial correlation. Machine Vision and Applications, pp.213-221, 2003.

. Tola, DAYSY : An efficient dense descriptor applied to wide-baseline stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.32-58, 2010.
DOI : 10.1109/tpami.2009.77
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.168.5084

. Viana, Application of bipartite graph to the matching of geometric primtives in vision based inspection, International Summer School on VISion Understanding and Machine intelligence (VISUM), 2015.

. Viana, CAD-guided inspection of aeronautical mechanical parts using monocular vision, Proceedings of SPIE, 95340I, 2015.
DOI : 10.1117/12.2182922
URL : https://hal.archives-ouvertes.fr/hal-01352472

. Viana, Inspection d' assemblages mécaniques aéronautiques par vision artificielle, Annual Conference of French Doctoral School, Systems (EDSYS). (Cité page 14, 2014.

. Viana, Inspection of aeronautical mechanical parts with a pan-tilt-zoom camera: an approach guided by the computer-aided design model, Journal of Electronic Imaging, vol.24, issue.6, p.61118, 2015.
DOI : 10.1117/1.JEI.24.6.061118
URL : https://hal.archives-ouvertes.fr/hal-01351022

. Viana, Inspection automatisée d'assemblages mécaniques : vers une approche couplée vision 2D/vision 3D, 2013.

. Viana, Fast Automated Inspection of Mechanical Assembly using a combined 2D/3D vision approach (Taiwan), oral presentation only, IUTAM Symposium on Advances of Optical Methods in Experimental Mechanics, pp.13-42, 2012.

M. Wang, C. Wang, and K. Ma, Bipartite graph-based mismatch removal for wide-baseline image matching, Journal of Visual Communication and Image Representation, vol.25, issue.6, pp.1416-1424, 2014.
DOI : 10.1016/j.jvcir.2013.12.013

. Wang, A Fast and Robust Ellipse-Detection Method Based on Sorted Merging, The Scientific World Journal, vol.4, issue.3-4, 2014.
DOI : 10.1109/34.765658
URL : http://doi.org/10.1155/2014/481312

. Weiss, Spectral hashing, Advances in neural information. (Cité, p.26, 2008.

. Zendjebil, Outdoor augmented reality : State of the art, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00339480