A multi-channel algorithm for edge detection under varying lighting conditions

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 1885-1892

  Xu, Wei ^a   Jenkin, Michael ^b   Lespérance, Yves ^b  

^a UCB 450   (United States)

^b YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FALSE DETECTION; MULTICHANNEL ALGORITHM; TARGET OBJECT;

ALGORITHMS; COMPUTATION THEORY; IMAGE ANALYSIS; OBJECT RECOGNITION;

EDGE DETECTION;

EID: 33845564582     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.33     Document Type: Conference Paper

References (15)

1. W. A. Almageed and C. E. Smith. Mixture models for dynamic statistical pressure snakes. In Proc. IEEE ICPR, volume 2, pages 721-724, 2002.
2. J. A. Bilmes. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian Mixture and Hidden Markov Models. Technical Report ICSI-TR-97-021, University of California at Berkeley, 1997.
3. P. Bonnin, B. Hoeltzener-Douarin, and E. Pissaloux. A new way of image data fusion: the multi-spectral cooperative segmentation. In Proc. IEEE ICIP, volume 3, pages 572-575, 1995.
4. O. Borzenko, Y. Lespérance and M. Jenkin. Controlling camera and lights for intelligent image acquisition and merging. In Proc. 2nd Canadian Conf. on Computer and Robot Vision, pages 602-609, 2005.
5. O. Borzenko, W. Xu, M. Obsniuk, A. Chopra, P. Jasiobedzki, M. Jenkin and Y. Lespérance. Lights and Camera: Intelligently Controlled Multi-channel Pose Estimation System. In Proc. 4th IEEE Intl. Conf. on Computer Vision Systems (ICVS'06), page 42, 2006.
6. J. F. Canny. A computational approach to edge detection. IEEE PAMI, 8:679-698, 1986.
7. A. Cumani. Edge detection in multispectral images. CVGIP: Graphical Models and Image Processing, 53(1):40-51, 1991.
8. A. Jepson and M. J. Black. Mixture models for optical flow computation. In Proc. IEEE CVPR, pages 760-761, 1993.
9. L. Lam and C. Y. Suen. Application of Majority Voting to Pattern Recognition: An Analysis of its Behaviour and Performance. IEEE Trans. on Syst. Man and Cybern. - Part A: Systems and Humans, 27:553-568, 1997.
10. P. E. Lopez-de-Teruel and A. Ruiz. A parallel algorithm for Tracking of segments in noisy edge images. In Proc. IEEE ICPR, volume 4, pages 807-811, 2000.
11. N. Ludtke, B. Luo, E. Hancock and R. C. Wilson. Corner detection using a mixture model of edge orientation. In Proc. IEEE ICPR, volume 2, pages 574-577, 2002.
12. F. Porikli. Accurate detection of edge orientation for color and multi-spectral imagery. In Proc. IEEE ICIP, volume 1, pages 886-889, 2001.
13. R. Raskar, K. H. Tan, R. Feris, J. Yu, and M. Turk. Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. ACM Trans. on Graphics, 23(3):679-688, 2004.
14. W. Xu. Mutli-channel Edge Detection. Master's thesis, York University, Toronto, Canada, 2005.
15. A. Zia, V. DeBrunner, A. Chinnaswamy, and L. Debrunner. Multi-resolution and multi-sensor data fusion for remote sensing in detecting air pollution. In Proc. IEEE Southwest Symp. on Image Analysis and Interpretation, pages 9-13, 2002.