Abstract：The image segmentation using stereo image pairs is discussed. An image segmentation algorithm combining depth discontinuities and color information is proposed. Mean-shift segmentation algorithm is applied to the over-segmentation of the image,and meanwhile the dense depth map of the image pairs can be calculated by using stereo vision algorithm. Then,through combining color image over-segmentation and depth discontinuities,multiple seed regions for accurate segmentation are selected along the depth discontinuities. By using graph cut algorithm,unlabeled regions are assigned with seed regions′ labels. Next,the neighbor regions with different labels but without discontinuous depth boundary between them are merged together as well. Compared with the traditional feature clustering image segmentation algorithms,the proposed algorithm overcomes the problems of over-segmentation and under-segmentation,and semantic object segmentation results can be achieved. Experimental results show the validity of the proposed algorithm.
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