%0 Journal Article
%T Image thresholding based on mutual recognition of histogram<br>基于直方图互确认的图像阈值化分割
%A CHEN Liang
%A DING Guo-Hui
%A GUO Lei
%A <br>陈亮
%A 丁国辉
%A 郭雷
%J 红外与毫米波学报
%D 2011
%I Science Press
%X For more effective image thresholding, a novel and simple method is proposed which based directly on the histogram of the image. According to the intuitive appearance of the histogram and the influence of peaks and valleys to final threshold, a new thresholding measurement is defined creatively. Accumulating mutual recognitions of all other histogram bins and combining some speeding-up strategies, the proposed measurement makes image thresholding have more practicability and applicability. And the number of segmentation is determined by the percentage of the final recognition value. As can be seen from the comparison with other methods in experiments, results of the proposed method are shown better and more efficient than other ones. Moreover, the objects are highlighted well in infrared image.
%K Image processing
%K Thesholding
%K Histogram
%K Mutual recognition<br>图像处理
%K 阈值化
%K 直方图
%K 互确认
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=389FE7D2A72549C5D1F5F7FDB8A93673&yid=9377ED8094509821&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=E203FB1A272C9DD2&eid=656F8C8401D91023&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=0