直方图图像处理算法的实现  

Realization of the Histogram Image Processing Algorithm

作　　者：徐鹏飞[1] 刘保菊[1] 朱清泽 

机构地区：[1]平顶山学院国际教育交流学院,河南平顶山467000 [2]南阳界中学校,河南南阳473134

出　　处：《安徽电子信息职业技术学院学报》2013年第6期21-23,共3页Journal of Anhui Vocational College of Electronics & Information Technology

摘　　要：灰度图像直方图是一种图像中灰度频数统计的分布图形,其横坐标代表灰度级,灰度级从0到255;纵坐标为每一级灰度级的像素数或频数。如果图像中所包含的所取对象与背景色灰度值对比明显,灰度分布比较有规律,所取对象和背景色灰度值会在图像的灰度值直方图上各处形成一个波峰,即区域和波峰一一对应。由于每两个波峰间形成一个低谷。选择双峰间低谷处所对应的灰度值为阈值,可将两个区域分离。The gray image histogram is the distribution graph of an image gray frequency statistics. The abscissa represents the gray level that ranges from 0 to 255. The ordinate is the pixel number or frequency of the gray level. If the contrast of the image object and the background color gray value is obvious, the gray distribution is regular, and the object and the background color gray value form a crest in the image gray value histogram, that is, the area corresponds the peak one by one. Because every trough is formed between two waves, the two regional troughs can be separated by selecting the corresponding gray value of the two troughs as the threshold.

关 键 词：灰度图像直方图 像素 区域 

分 类 号：TP302.4[自动化与计算机技术—计算机系统结构]