Multi-Level Slic Superpixels Segmentation Method Based On Edge Detection Operator

Simple linear iterative clustering (SLIC) superpixel algorithm for its excellent performance and efficient border holding computational efficiency is widely used in image processing. But with the increase of the number of superpixels, there will be a lot of redundancy in the image merging process. In this paper, we propose a multi-level superpixels method based SLIC algorithm, which focuses on the target area to set up edge detection operator for generating multi-level superpixels. Simulation results show that the proposed method ensures the accuracy of extraction and improves the computational efficiency.