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Proceedings Paper

Contour integration and segmentation with a new lateral connections model
Author(s): Chao Cai
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Paper Abstract

Automatically target contour detection from cluttered scenes is a very difficult task for computer vision. Humans, however, have a much better background suppress ability. The preceding models could not implement such a task very well. In this letter, an effective contour integration method based on human visual perception mechanism is proposed. The algorithm combines the properties of primary visual cortex and psychology researching results to simulate the contour perception of the V1 cortex. The new lateral connection based computational model have a better texture suppress ability, while, target's contour is enhanced. Compared with traditional methods, experiments show that the new method implement a more reasonable simulation of the V1 function structure, availably enhance the target's contour while suppress the cluttered background, obtain a balance between over and lose detection, besides, it has better accuracy with less computational complexity and time-consuming.

Paper Details

Date Published: 2 December 2011
PDF: 6 pages
Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 800415 (2 December 2011); doi: 10.1117/12.902140
Show Author Affiliations
Chao Cai, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 8004:
MIPPR 2011: Pattern Recognition and Computer Vision
Jonathan Roberts; Jie Ma, Editor(s)

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