Object contour detecting using pseudo zernike moment and multi-layer perceptron

2015 22nd Iranian Conference on Biomedical Engineering, ICBME 2015

Volumn , Issue , 2016, Pages 304-308

  Borzue, Nasim ^a   Faez, Karim ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Contour detection; Line Detection with Contours (LDC); Multi Layer Perceptron (MLP); Pseudo Zernike Moment (PZM); Straight line detection

Indexed keywords

BIOMEDICAL ENGINEERING; BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); EXTRACTION; FACE RECOGNITION; IMAGE SEGMENTATION; OBJECT DETECTION;

CONTOUR DETECTION; LINE DETECTION; MULTI LAYER PERCEPTRON; PSEUDO- ZERNIKE MOMENTS; STRAIGHT LINE DETECTION;

FEATURE EXTRACTION;

EID: 84963949110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBME.2015.7404160     Document Type: Conference Paper

References (44)

1. F. Leymarie and M. D. Levine, "Tracking deformable objects in the plane using an active contour model," IEEE Trans. Pattern Anal.Mach. Intell., Vol. 15, No. 6, pp. 617-634, 1993
2. S. Mahmoodi, "Shape-based active contours for fast video segmentation," IEEE Signal Process. Lett., Vol. 16, No. 10, pp. 857-860, 2009
3. A. Mishra, A. Wong, W. Zhang, D. Clausi, and P. Fieguth, "Improved interactive medical image segmentation using enhanced intelligent scissors (eis)," in Annu. Int. Conf. IEEE Engineering in Medicine and Biology Soc., pp. 3083-6, 2008
4. A. Davatzikos, and J. Prince, "An active contour model for mapping the cortex," IEEE Trans. Med. Imag., vol. 14, pp. 65-80, 1995
5. N. Alajlan, M. Kamel, and G. Freeman, "Geometry-based image retrieval in binary image databases," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 30, No. 6, pp. 1003-1013, 2008
6. Z. Pizlo, Y. Li, and G. Francis,"A new look at binocular stereopsis," Vision Res., Vol. 45, No. 17, pp. 2244-2255, 2005
7. X. Bai, X. Yangb, and L.J. Latecki, "Detection and recognition of contour parts based on shape similarity," Pattern Recognition, Vol. 41, No. 7, pp. 2189-2199, 2008
8. G. Sapiro, Geometric Partial Differential Equations and Image Analysis.. New York: Cambridge Univ. Press, 2003
9. S. Osher and R. Fedkiw, Level Set Methods and Dynamic Implicit Surfaces. New York: Cambridge Univ. Press, 2003
10. S. Osher and R. Tsai, "Level set methods and their applications in image science," Commun. Math. Sci., Vol. 1, No. 4, pp. 1-20, 2003
11. S. Kichenassamy, A. Kumar, P. Olver, A. Tannenbaum, and A. Y. Jr, "Conformal curvature flows: From phase transitions to active vision," Arch. Ration. Mech. Anal., Vol. 134, No. 3, pp. 275-301, Sep. 1996
12. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comput. Vis., Vol. 22, No. 1, pp. 61-79, Feb. 1997
13. S. C. Zhu and A. Yuille, "Region competition: Unifying snakes, region growing, and bayes/mdl formultiband image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 18, No. 9, pp. 884-900, 1996
14. T. Chan and L. Vese, "Active contours without edges," IEEE Trans. Image Process., Vol. 10, No. 2, pp. 266-277, Feb. 2001
15. A. Yezzi, A. Tsai, and A.Willsky, "A statistical approach to snakes for bimodal and trimodal imagery," in Proc. Int. Conf. Comput. Vis., Vol. 2, pp. 898-903, 1999
16. A. Tamrakar and B. B. Kimia, "No grouping left behind: From edges to curve fragments," In ICCV '07: Proceedings of the Eleventh IEEE International Conference on Computer Vision. IEEE Computer Society, 2007
17. J. Shotton, A. Blake, and R. Cipolla, "Contour-based learning for object detection," In ICCV '05: Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05), Vol. 1, pp. 503-510, Washington, DC, USA, IEEE Computer Society, 2005
18. G. Borgefors, "Hierarchical chamfer matching: A parametric edge matching algorithm," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 10, No. 6, pp. 849-865, 1988
19. V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, "Groups of adjacent contour segments for object detection," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 30, No. 1, pp. 36-51, 2008
20. Q. Zhu, L. Wang, Y. Wu, and J. Shi, "Contour context selection for object detection: A set-to-set contour matching approach," In ECCV'08, 2008
21. X. Bai, X. Wang, L.J. Latecki, W. Liu, Z. Tu, "Active Skeleton for Non-rigid Object Detection," ICCV, 2009
22. W. E. L. Grimson, Object recognition by computer: the role of geometric constraints. MIT Press, Cambridge, MA, USA, 1990
23. A. Solis Montero, "Towards Feature Detection based on Morphology of Objects on Image", M.Sc Thesis, School of Information Technology and Engineering, University of Ottawa, 2010
24. A. Solis-Montero, A. Nayak, M. Stojmenovic, N. Zaguia, "Robust Line Extraction Based on Repeated Segment Directions on Image Contours", IEEE Symposium: Computational Intelligence for Security and Defense Applications (CISDA), 2009
25. J. Haddadnia, K. Faez, and P. Moallem, "Neural network based face recognition with moments invariant," in Proc. IEEE International Conference on Image Processing (ICIP '01), Vol. 1, pp. 1018-1021, Thessaloniki, Greece, 2001
26. Caltech-101, http://www.vision.caltech.edu/Image-Datasets/Caltech101
27. Lowe, David G. "Object recognition from local scale-invariant features." The proceedings of the seventh IEEE international conference on Computer vision, Vol. 2. 1999
28. Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool, "SURF: Speeded Up Robust Features", Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, pp. 346-359, 2008
29. V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, "Groups of adjacent contour segments for object detection", PAMI, 30(1): 36-51, 2008
30. O. Boiman, E. Shechtman, and M. Irani, "In defense of nearest neighbor based image classification", CVPR, 2008
31. H. Zhang, A. C. Berg, M. Maire, and J. Malik, "SVM-KNN: discriminative nearest neighbor classification for visual category recognition", CVPR, 2006
32. G. Griffin, A. Holub, and P. Perona, "Caltech-256 object category dataset", Technical Report 7694, California Institute of Technology, 2007
33. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong, "Localityconstrained linear coding for image classification", CVPR, 2010
34. Y. Xu, Y. Quan, Z. Zhang, H. Ji, C. Fermuller, M. Nishigaki, and D. Dementhon, "Contour-based recognition", CVPR, 2012
35. S. Haykin, Neural Networks, Macmillan College Publishing Company, 1999
36. J. Haddadnia, K. Faez, and P. Moallem, "Neural network based face recognition withmoments invariant," in Proc. IEEE International Conference on Image Processing (ICIP '01), Vol. 1, pp. 1018-1021, Thessaloniki, Greece, 2001
37. N.S. Altman, "An introduction to kernel and nearest-neighbor nonparametric regression", The American Statistician, Vol. 46, No. 3, pp. 175-185, 1992
38. C. Cortes and V. Vapnik, "Support-vector networks." Machine learning, Vol. 20, No. 3 (1995): 273-297
39. P.F. Felzenszwalb, "Learning models for object recognition", In Proc. IEEE Conf. Computer Vision and Pattern Recognition, Vol. 1, pp. 1056-1062, 2001
40. D.M. Gavrila, "Pedestrian detection from a moving vehicle", In D. Vernon, editor, Proc. European Conf. on Computer Vision, LNCS, Vol. 1843, pp. 37-49, Springer, 2000
41. K. Toyama and A. Blake, "Probabilistic tracking with exemplars in a metric space", Int. J. Computer Vision, Vol. 48, No. 1, pp.9-19, 2002
42. B. Stenger, A. Thayananthan, P.H.S. Torr, and R. Cipolla, "Modelbased hand tracking using a hierarchical bayesian filter", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, No. 9, pp. 1372-1384, 2006
43. N.S. Altman, "An introduction to kernel and nearest-neighbor nonparametric regression", The American Statistician, Vol. 46, No. 3, pp. 175-185, 1992
44. C. Cortes and V. Vapnik, "Support-vector networks." Machine learning, Vol. 20, No. 3 (1995): 273-297.