Color Image Stereo Vision Obstacle Detection Based on Phase Congruency

Long Yuan Guo; Guo Yun Zhang; Jian Hui Wu

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Color Image Stereo Vision Obstacle Detection Based...

Color Image Stereo Vision Obstacle Detection Based on Phase Congruency

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

2068-2073

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.2068

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Online since:

June 2011

Authors:

Long Yuan Guo, Guo Yun Zhang, Jian Hui Wu

Keywords:

Image Segmentation, Obstacle Detection, Phase Congruency (PC), Stereo Correspondence

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