安徽农业科学Issue(7)：4393-4395,4398,4.
基于模糊Tsallis熵和混沌蛙跳算法的快速红外目标分割
Fast Infrared Target Segmentation Based on Fuzzy Tsallis Entropy and Chaos Shuffled Frog-leaping Algorithm
赵淑晶 1夏冬雪 2结硕1
作者信息
- 1. 北京工业大学耿丹学院信息工程系,北京101301
- 2. 广西工学院计算机工程系,广西柳州545006
- 折叠
摘要
Abstract
In view of the fuzziness and non-extensiveness of infrared image, a fast threshold segmentation method based on fuzzy Tsallis entropy was proposed. Firstly, the histogram of image was transformed into fuzzy domain by fuzzy membership functions, then the fuzzy Tsallis entropies of background and object were defined, and thus the total entropy of image was obtained according to the pseudo additivity rule of non-extensiveness entropy. In the process of parameters optimization, a kind of chaos shuffled frog-leaping algorithm based on logistic mapping was proposed. The parameters of fuzzy member functions were optimized according to the maximum entropy principle, and then the optimal threshold of image was obtained. Compared with typical threshold segmentation methods by experiment, the presented method was verified to be efficient and robust.关键词
红外目标分割/模糊Tsallis熵/混沌蛙跳算法/最大熵原则Key words
Infrared object segmentation/ Fuzzy Tsallis entropy/ Chaos shuffled frog-leaping algorithm/ Maximum entropy principle分类
农业科技引用本文复制引用
赵淑晶,夏冬雪,结硕..基于模糊Tsallis熵和混沌蛙跳算法的快速红外目标分割[J].安徽农业科学,2012,(7):4393-4395,4398,4.
