%0 Journal Article
%T A Binary Mapping Law(BML) for Histogram Processing of Digital Image<br>用于数字图像直方图处理的一种二值映射规则
%A ZHANG Zhuan cheng
%A ZHANG Xiao jie
%A ZOU Tao
%A <br>张专成
%A 张孝杰
%A 邹涛
%J 中国图象图形学报
%D 2004
%I 
%X Histogram shows the statistic relation between every gray level and the probability of its occurrence, giving the global information of the image. Gray scale transformation based on the technique of histogram modification is one of practical and effective ways of image enhancement. Histogram processing includes equalization and specification. The aim of equalization is to create an image with equally distributed brightness levels over the whole brightness scale; The aim of specification is to transform the histogram of an original image to a specified histogram capable of highlighting certain gray level ranges in the image. In order to improve the efficiency of the algorithm of histogram processing further, the shortcomings of several current algorithms of equalization transformation and specification transformation are first analyzed, then a new binary mapping law (BML) is proposed. That law is based on optimal control theory making gray scale mapping abide by the principle of the minimum error of histogram, and haves a simple algorithm. Whether for histogram equalization or for histogram specification, it is testified more efficient than other mapping laws.
%K histogram
%K accumulation histogram
%K specification processing
%K equalization processing
%K binary image
%K binary mapping law<br>数字图像
%K 累积直方图
%K 规定化处理
%K 均衡化处理
%K 二值图像
%K 二值映射规则
%K 图像处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=646FAE42094E709D&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=38B194292C032A66&sid=5D8C08279A19B0D4&eid=03E56C113B4E5A88&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=5