摘要
图象分割是计算机早期视觉重要的不可缺少的一步。彩色图象由于具有比灰度图象更多的视觉信息,受到了越来越多的重视。本文对彩色图象分割方法和颜色特征选择及其关系做了的概述,特别是对基于物理分割方法做了更多的描述,意旨它将是解决计算机深层次视觉根本方法。同时,本文也涉及分割效果的评价方法及在计算机视觉作用。
Image segmentation is the first essential and important step of low level vision.Color images with more vision information than gray ones are becoming increasingly concerned.In this paper,various segmentation methods to color images,used color features and the relationship between them are summarized.Especially, the physics-based segmentation is more described. At same times,the article refers to evaluation of image segmentation result and its importance in computer vision.
出处
《云南师范大学学报(自然科学版)》
1999年第6期53-56,共4页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
云南省教委资助!(9812114
9712037)
关键词
彩色图象分割
颜色特征
计算机视觉
图象处理
Color image segmentation
Color features
Computer vision
image processing