计算机应用研究2012，Vol.29Issue(3)：1172-1174,1190,4.DOI:10.3969/j.issn.1001-3695.2012.03.103
基于数学形态学的彩色噪声图像边缘检测算法
Based on mathematical morphology of color noise image edge detection algorithm
摘要
Abstract
The existed mathematical morphology for edge detection algorithm can' t detect the complete and sharp information of noise color image. This paper proposed a new approach to edge detection of color image, this approach was based on HIS color space to multi-scale and multi-structural elements of mathematical morphology. Using two unit elements: the scale and structure, the method expanded them from the horizontal and vertical two directions, and detected the color noise image through the form of face. Based on this method, separately detected the edge of the two components H and S which were carrying color information. Finally, weighted-synthesized them to get the color edge. The experimental results show that the algorithm has obvious denoising effect,it can obtain clearly color edge and abundant details, and the algorithm is feasible and effective for the color edge extraction.关键词
HSI色彩空间/彩色噪声图像/边缘检测/多尺度多结构元/数学形态学Key words
HIS color space/ color noise image/ edge detection/ multi-scale and multi-structural element/ mathematical morphology分类
信息技术与安全科学引用本文复制引用
石跃祥,康蕴,刘海涛..基于数学形态学的彩色噪声图像边缘检测算法[J].计算机应用研究,2012,29(3):1172-1174,1190,4.基金项目
湖南省自然科学基金资助项目(07JJ6115) （07JJ6115）
智能制造湖南省高校重点实验室项目(2009IM06) （2009IM06）
湖南省教育厅创新平台开放基金资助项目(11K069) （11K069）
