摘要
针对在RGB空间中很难有效区分颜色相似性的问题,选择更加符合颜色视觉特性的HSI颜色空间进行图像处理,提出一种基于HSI空间的多结构多尺度自适应彩色图像边缘检测方法。首先对H、S、I三个分量采用不同结构和不同尺度的结构元素进行形态学边缘检测,然后对三个边缘分量利用信息熵加权得到融合后的彩色边缘信息。实验结果表明,该方法可以充分利用彩色图像的色度、饱和度和亮度信息,有效地抑制噪声,自适应地提取完整的边缘信息。
It is difficult to effectively distinguish the similarity between colors in RGB color space, so color image processing is implemented in HSI space which reflects the features of human vision. An adaptive algorithm of color image edge detection based on multiple structure and multi-scale elements in HSI space is proposed. Firstly, morphological edge detection is executed by using different structure and different scale elements to hue, saturation and intensity. Then, according to the weight derived from information entropy, the color edge information is obtained by combining component’s edge information. The experimental results show that proposed algorithm can make full use of the hue, saturation and intensity information to effectively eliminate the noise and adaptively extract the complete edge information.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第4期125-129,共5页
Opto-Electronic Engineering
基金
国家863高科技研究发展计划资助项目
关键词
HSI空间
数学形态学
彩色边缘
信息熵
多结构多尺度
HSI space
mathematical morphology
color edge
information entropy
multiple structure and multi-scale
