%0 Journal Article
%T SEGMENTATION OF FLIR IMAGES BY GENETIC ALGORITHM AND FUZZY ENTROPY<br>基于遗传算法和模糊熵的前视红外图像分割
%A TAO Wen-Bing
%A TIAN Jin-Wen
%A LIU Jian
%A LOU Yue
%A <br>陶文兵
%A 田金文
%A 柳健
%A 娄越
%J 红外与毫米波学报
%D 2003
%I Science Press
%X A FLIR image segmentation algorithm based on genetic algorithm and fuzzy set theory was presented. The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy. The procedure for finding combination of a, b and c is implemented by genetic algorithm, thresholding image into object and background by maximizing the fuzzy entropy. The experiment results show that our proposed method gives better performance and higher calculation speed than other general methods with good real-time by using genetic algorithm.
%K image segmentation
%K genetic algorithm
%K fuzzy entropy
%K FLIR image<br>遗传算法
%K 模糊熵
%K 图像分割
%K 自动目标识别技术
%K 前视红外图像
%K 概率划分
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=1C55E20A097F9780&yid=D43C4A19B2EE3C0A&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=BC88D6B0750E09D1&eid=3FC4D669D19FF0C6&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=18&reference_num=13