摘要
图像分割是对图像进行分析和理解的基础,彩色图像由于较灰度图像具备更多的视觉信息而越来越受到人们的关注 文章对彩色特征空间的选取,以及近年来通过结合模糊数学、马尔可夫随机场、神经网络、遗传算法。
Image segmentation is the foundation of image analysis and comprehension. More and more attention has been paid to color image in view of offering more vision information than gray-value image. This paper deals with the selection of color space and color image segmentation methods, based on specific theories such as fuzzy set, MRF, neural network, genetic algorithm and wavelet transform.
出处
《宜春学院学报》
2005年第2期12-14,共3页
Journal of Yichun University
基金
国家民委重点科研资助项目
关键词
彩色图像分割
彩色空间
Color image segmentation
Color space
