计算机与数字工程2012，Vol.40Issue(2)：92-95,4.
基于视觉感知特性的彩色图像分割
Color Image Segmentation Based on Visual Perception
常盼盼 1黄继风1
作者信息
- 1. 上海师范大学信息与机电工程学院 上海200234
- 折叠
摘要
Abstract
Color image segmentation is a critical pre-process in image processing. Also it's important in the field of computer vision and pattern recognition. In this paper, some evidence in the human vision research is stated. Not all the intensity from 0 to 255 in RGB spaces can be distinguished by human vision. So the level of the intensity is reduced in RGB space to 26, 28, 26 respectively, while maintaining the image's visual features and reducing the categories of image's information. So the most correct peak points is achieved, from which can form all the possible cluster centroids. As all these cluster centroids consider the image's self-information, so the cluster centroids is accurate. It can reduce the times of the interations for segmentation, so to some extent reduce the time consumption. The experimental results show that the method can be highly regulated, and the segmentation results are as good as traditional method.关键词
彩色图像分割/人类视觉/模糊C均值聚类Key words
color image segmentation, human visual perception, fuzzy C-means分类
信息技术与安全科学引用本文复制引用
常盼盼,黄继风..基于视觉感知特性的彩色图像分割[J].计算机与数字工程,2012,40(2):92-95,4.
