直方图均衡化算法在表情图像灰度标准化中的应用研究  

Research on the Application of Histogram Equalization Algorithm in the Gray Standardization of Expression Images

作　　者：张大伟 ZHANG Dawei(Telecom Department of Beihai Vocational College,Beihai Guangxi 536000,China)

机构地区：[1]北海职业学院电子信息工程系,广西北海536000

出　　处：《智能计算机与应用》2020年第10期177-179,共3页Intelligent Computer and Applications

基　　金：2020年度职业教育信息化建设研究课题(XXHJS20-0045)。

摘　　要：人机交互中因环境不一、光线不均,计算机采集到的人脸表情图像会出现亮度不均的现象,这对图像表情的提取精度影响甚大。直方图均衡化是灰度变换中的一种算法,其通过拓展图像的灰度值的范围,增强图像的对比度,将图像中的灰度均匀分布,从而获得更好的表情分析区域。本文以采集的人脸图像为基础,研究直方图均衡化算法在图像灰度标准化中的应用,以提高表情图像提取的精度。Due to the different environment and uneven light in human-computer interaction,the face expression images collected by computer will have uneven brightness,which has a great impact on the accuracy of image expression extraction. Histogram equalization is an algorithm in grayscale transformation,which expands the range of the grayscale value of the image,enhances the contrast of the image,and evenly distributes the grayscale in the image,so as to obtain a better expression analysis area. In this paper,based on the collected face images,the application of histogram equalization algorithm in image gray standardization is studied to improve the accuracy of expression image extraction.

关 键 词：人脸表情 直方图均衡化 灰度 

分 类 号：TN919.81[电子电信—通信与信息系统]