Color image segmentation based on blocks clustering and region growing

In order to overcome the discontinuity in clustering segmentation, a novel color image segmentation algorithm is proposed, which is based on seeds clustering and can locate the seeds of regions quickly. Firstly, the image is divided into a series of non-overlapping blocks with the size of n(n pixels in HSI color space. For each block, the centroid pixel of salient homogeneous region is selected as a feature point of the block. Secondly, based on the principles of color similarity centroids are clustered to obtain the clustered centroids as seeds for region growing. Finally, invalid and noisy regions are merged to get the complete segmentation results. Comparing with other segmentation algorithms, the experimental results demonstrate that the proposed method can accurately segment regions and objects, it outperforms other methods in terms of human visual perception.