光电子技术, 2011, 31 (1): 5, 网络出版: 2011-04-28
一种基于HSV空间和粗糙集的彩色图像分割方法
Color Image Segmentation Based on HSV Space and Rough-set Theory
HSV颜色空间 粗糙集 直方图 颜色距离 彩色图像分割 HSV color space rough-set histogram color distance color image segmentation
摘要
研究了基于HSV颜色空间的粗糙集直方图阈值彩色图像分割方法。根据HSV空间的特性,定义了HSV空间颜色距离计算公式,对HSV三分量计算粗糙集直方图和彩色图像进行分割。实验结果表明该方法较好地保留了图像的颜色信息,具有较高的通用性,能够获得满意的分割效果。
Abstract
The rough-set histogram thresholding method for color image segmentation based on HSV color space has been investigated. The color distance of HSV has been defined considering the properties of HSV space. The rough-set histogram of each component is calculated, while segmentation is applied. The experimental results demonstrate that the image color is well preserved and the satisfied segmentation can be obtained by this method.
蔡式东, 杨芳通. 一种基于HSV空间和粗糙集的彩色图像分割方法[J]. 光电子技术, 2011, 31(1): 5. Cai Shidong, Yang Fang. Color Image Segmentation Based on HSV Space and Rough-set Theory[J]. Optoelectronic Technology, 2011, 31(1): 5.