基于HSL空间彩色图像多结构元形态边缘检测  

Edge detection of color image based on multi-structural elements morphology of HSL space

作　　者：王金凤[1] 焦斌亮[1] 

机构地区：[1]燕山大学信息科学与工程学院,河北秦皇岛066004

出　　处：《计算机工程与应用》2011年第15期216-218,共3页Computer Engineering and Applications

基　　金：河北省教育厅项目(No.2007143)

摘　　要：构建了一类在HSL颜色空间基于多结构元彩色形态边缘梯度检测算法实现彩色图像边缘检测新算法,多结构元形态边缘检测有着比单一结构元素形态边缘检测更优越的性能。该方法是把RGB空间的彩色图像转换到HSL空间,并且定义了在HSL空间的彩色形态学基本算子,提出了改进的多结构元彩色形态边缘检测算法。经过大量实验证明,该算法在有噪声的干扰下,比传统的方法能够更好地抑制噪声并提取有用的图像边缘信息,能满足不同的应用需要。A new method of realizing edge detection for color image is constructed based on the gradient algorithm of multi-structuring elements morphology in HSL space.The ability of edge detection based on multi-structuring elements morphology is superior to single-structuring element.In this method color image of RGB space is converted into image of HSL space, the basic color morphological operators in HSL space are defined and improved multi-structuring elements color morphological operators are proposed.The experiments show that this algorithm can more effectively suppress noise and better extract useful image edge information than traditional methods,and it can meet various requirements in application.

关 键 词：边缘检测 结构元素 HSL空间 彩色形态学 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]