Based on depth characteristic of multi-view images, an image region partition and regional disparity estimation algorithm via block matching is proposed. Firstly, based on the concept of the depth object, the number of regions is determined and corresponding regional disparities are estimated. Then, the initial image region partition is obtained by minimizing the block matching error. When the number of the blocks in a region is less than a threshold, the region is eliminated, and all the blocks in this region are reassigned to other regions according to the region merging algorithm. The region merging process is iteratively executed to obtain valid region partition results. Experimental results show that the proposed algorithm can effectively partition image regions with different depths and accurately estimate corresponding regional disparities.