Color Image Stereo Vision Obstacle Detection Based on Phase Congruency

Abstract:

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Obstacle detection based on stereovision is sensitive to illumination. Considering phase congruency is insensitivity to illumination, the paper presents a novel algorithm for color image stereovision obstacle detection based on phase congruency. The images are segmented with phase congruency and color in the algorithm, firstly. The obstacles are detected after stereo correspondence of segmentation images. The result of experiment indicates that the algorithm is good at image segmentation and obstacle detection under varying illumination.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

2068-2073

DOI:

10.4028/www.scientific.net/AMM.58-60.2068

Citation:

L. Y. Guo et al., "Color Image Stereo Vision Obstacle Detection Based on Phase Congruency", Applied Mechanics and Materials, Vols. 58-60, pp. 2068-2073, 2011

Online since:

June 2011

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Price:

$35.00

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