Stereo Matching Algorithm Based on Edge Feature of Segmented Image

Yi Zhang; Cheng Liang Huang; Lian Fa Bai

doi:10.4028/www.scientific.net/AMM.333-335.948

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Stereo Matching Algorithm Based on Edge Feature of...

Stereo Matching Algorithm Based on Edge Feature of Segmented Image

Abstract:

Stereo matching of the disparity discontinuous boundaries and weak texture regions is still a problem of computer vision. Local-based stereo matching algorithm with the advantages of fast speed and high accuracy is the most common method. In order to improve the matching accuracy of the mentioned regions,a stereo matching algorithm based on edge feature of segmented image is proposed. Firstly, the reference image was segmented by Mean-Shift algorithm. Then, support window was dynamically allocated based on edge feature of segmented image. Finally, the disparity distribution of support window was adjusted by introducing weighting factor. The experimental results show that this algorithm can reduce noise and effectively improve the matching accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

948-953

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.948

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Online since:

July 2013

Authors:

Yi Zhang, Cheng Liang Huang, Lian Fa Bai

Keywords:

Edge Feature, Mage Segmentation, Multi-Window, Weighting Factor

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