摘要
形态滤波属于非线性信号变换处理,它利用信号的局部特征对信号进行修正.最近的研究表明形态滤波器能有效地滤除二值图像及灰度图像中的噪声.本文引入了建立在RGB彩色空间上的彩色形态变换,将数字形态学理论从灰度空间扩展到彩色空间.对基本彩色形态滤波器(即彩色形态闭、开)及以它们为基础所构造出一些复杂的彩色形态滤波器进行了研究,并对它们选用不同结构元素的情况进行了分析.实验表明彩色形态滤波器能直接有效地消除彩色图像的噪声、保持图像细节并且不产生新的颜色。
Morphological filters perform nonlinear signal transformations that locally modify geometric features of signals.It has been shown that morphological filters can be efficiently used to filter noise in binary images and gray scale images.In this paper,color morphological operations,based on the RGB (red green blue) color space,are introduced,which extend theory of mathematical morphology to color image processing.The most fundamental color morphological filters,color opening and color closing,are proposed and used to construct more powerful color morphological filters.Analyses are developed.Experimental results show that color morphological filters are very suitable and powerful to eliminate noise of color images without blurring image and producing new color.They perform better than vector median filter.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第11期57-60,共4页
Acta Electronica Sinica
基金
国家自然科学基金!(No .6 9775 0 0 4)
浙江省自然科学基金资助项目!(No .6 980 6 4 )
关键词
数学形态学
彩色形态滤波
矢量中值滤波器
mathematical morphology
RGB color space
vector norm
color morphological filter
vector median filter
