摘要
图像匹配技术已经越来越广泛地应用于各个领域,以开发液晶显示器的摄像头性能检测系统为研究背景,为了提高软件系统的图像检测功能,首先,简单地介绍了常用的图像匹配算法,然后,选取了两种图像匹配算法:基于相似度比较的图像灰度匹配算法和基于内容检索的颜色特征匹配方法,最后,实现了这两种算法以提高软件系统的准确度,从而可以实时在线判断液晶显示器摄像头品质的好坏,大大提高了产品的品质。
Image matching technology has widely used in various fields, this paper develops camera quality testing software system of LCD for research background. In order to improve the image detection software system, first, it briefly introduces the common image matching algorithm and then selects two image matching algorithms: the image grayscale matching algorithm based on similarity measure and gray image content-based retrieval features of the color matching method . Finally, it programs these two algorithms to improve the accuracy of software, and judges the production camera' s quality in real time and on time. It can dramatically improve the production quality.
出处
《电视技术》
北大核心
2013年第7期107-110,共4页
Video Engineering
基金
福建省自然科学基金项目(2012J05109)
关键词
图像匹配
灰度匹配
特征匹配
相似度比较
颜色直方图
image matching
gray matching
feature matching
similarity measure
color histogram