Image Segmentation Based on Superpixel Boundary Movement
Yueting Fang, Deqiang Yang, Jianhou Gan · 2019
The superpixel generated by clustering of simple linear iterative clustering (SLIC) algorithm is prone to under-segmentation problem in image detail, and the image boundary segmentation is not accurate. We propose an algorithm to perform motion clustering on the boundary pixels that initialize the uniform segmentation region until the convergence produces superpixels, which improves the accuracy of clustering in the iterative process and reduces the phenomenon of mis-segmentation. The experimental results show that the image boundary segmentation algorithm is better than the SLIC algorithm.