关键词：图像分割;多阈值;对称Tsallis交叉熵;均匀搜索粒子群优化
摘 要：Multi-thresholding is an important step for automatic image analysis.In this paper,a multi-thresholding method based on symmetric Tsallis-cross entropy and uniform searching particle swarm optimization (UPSO) is proposed.The criterion function using symmetric Tsallis-cross entropy can make the grayscale within the background cluster and the object cluster uniform.Since the exhaustive multi-thresholding algorithm would be too time-consuming,UPSO algorithm is adopted to find the optimal thresholds quickly and accurately.A large number of experimental results show that,compared with related multi-thresholding methods based on Shannon entropy and Tsallis entropy,the proposed method is effective and rapid.It can obtain more accurate boundary shape and clearer details of object.