Description: Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching
algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the
expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense
disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the
international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed
algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic
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基于LBP_C纹理分析的立体匹配算法.caj
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