A Fuzzy Enhancement Method for Infrared Vehicle Target Image Based on Genetic Algorithm

摘要：

Because of uncertainties, that is to say, fuzziness in the infrared vehicle target image processing, fuzzy theory is used in the infrared image processing. A new kind of image measure function is presented by fuzzy theory. We use it as the fitness function of genetic algorithm to adaptively optimize parameter a and P in in-complete Beta function. Thus an optimal gray transformation curve is obtained to enhance the region of interest for an infrared vehicle target image. Experimental results show that this method has higher adaptability and intelligence. Compared with the classical image enhancement methods and some existing similar methods, this method is better in performance.

关键词： Infrared Vehicle Target Image Enhancement Fuzzy Geometric Feature Genetic Algorithm

作者: WANG Jinyu SHEN Zhihui Ding Xue REN Jiao

作者单位: College of Electrical & Information Engineering Northeast Petroleum University Heilongjiang Daqing 1 Network Management Center of Network Company Daqing Branch, China Unicom Heilongjiang Daqing 163318,

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 461-464

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）