文献类型：期刊文献

英文题名：Improvement of two-dimensional threshold segmentation algorithm for infrared image

作者：Chang, Qing; Zhong, Min-Xian

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] Shanghai Sanden Behr Automotive Air Conditioning Co. Ltd., Shanghai 200232, China

年份：2005

卷号：31

期号：5

起止页码：639

外文期刊名：Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology

收录：EI(收录号：2005479497652)

语种：英文

摘要：Based on two-dimensional thresholding segmentation algorithm for IR image, the method of 2D maximum classes square error is taken as an example to analyse the shortcoming of the method, then a novel genetic algorithm is presented by combining simple genetic algorithm (GA) and dissipative system theory for segmentation problem. Simulation research on selection of IR image thresholds is carried out for this method. The experimental results demonstrate effectiveness of this method and the comparison results also show at DGA is greatly superior to simple GA.