摘要
在HSV彩色空间提出了一种基于模糊融合和Soft多结构元素的新的彩色形态学滤波。基于模糊融合的评价值来进行彩色图像点的矢量排序,与基于HSV矢量排序的方法相比,滤波效果更好。实验结果表明,该形态学滤波算法比经典形态学滤波算法更有效地去除图像的噪声,保留图像细节。
A new filter on color morphology based on fuzzy combination and soft-multi-structural elements was presented. Color image pixels were sorted by the value of fuzzy combination. Morphological filter based on the ranking of fuzzy combination can get better results than based on the ranking of HSV, Experimental results demonstrate that the ability of color processing based on the new morphology is superior to the classical one, and that the algorithm possesses excellent performance on the noise restrained.
出处
《计算机应用》
CSCD
北大核心
2008年第3期665-668,共4页
journal of Computer Applications
基金
国家863计划项目(2006AA10Z313)
国家自然科学基金资助项目(60773206/F020106
60704047/F030304)
关键词
模糊融合
柔性多结构元素
数学形态学
彩色图像滤波
fuzzy combination
soft-multi-structural elements
mathematical morphology
color image filter