Research on Image Segmentation Based on Equivalent 3-D Entropy and Whale Optimization Algorithm
摘要
In order to improve the timeliness of 3-D maximum entropy method for image segmentation,an image segmentation method based on equivalent 3-D entropy and Whale Optimization Algorithm(WOA) is proposed.An equivalent 3-D entropy method without logarithmic operation is designed to solve the optimal threshold based on WOA algorithm to avoid exhaustive search and improve the efficiency of the algorithm.Experimental results show that compared with the traditional 3-D maximum entropy method and equivalent 3-D maximum entropy method,this method can reduce the running time without affecting the segmentation effect,and has obvious advantages in noise resistance and image details preservation.
引用本文（GB/T 7714）
LEI Xiangxiao,OUYANG Honglin,XIAO Leyi,FAN Chaodong. Research on Image Segmentation Based on Equivalent 3-D Entropy and Whale Optimization Algorithm[J]. DOAJ (DOAJ: Directory of Open Access Journals), 2019.
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