Infrared human image segmentation based on new fuzzy criterion and DE algorithm
基于新模糊准则与 DE算法的红外人体图像分割 *

The extraction of human target is the foundation of infrared human image processing. In order to obtain the human target from infrared image effectively, this paper proposed a novel thresholding method. Firstly, defined a new minimum fuzzy criterion through parameter transformation based on the analysis of the essence of maximum fuzzy entropy method. Then, com-bined the new criterion with differential evolution algorithm for obtain optimal threshold. Finally, tested the new method on real infrared images with other methods. Experimental results show that the proposed method not only can obtain ideal segmentation results but also the CPU time-consuming is lower, and it is suitable for real time application.