摘要
图像分割是图像识别和机器视觉领域中关键的预处理操作。分割理论算法众多,文中具体介绍基于聚类的分割算法的思想和原理,并将包含的典型算法的优缺点进行介绍和分析。经过比较后,归纳了在具体应用中如何对图像分割算法的抉择问题。近年来传统分割算法不断被科研工作者优化和组合,相信会有更多的分割新算法井喷而出。
Image segmentation is a key preprocessing operation in image recognition and machine vision.There are many existing theoretical methods,and this paper introduces the working principle of image segmentation algorithm based on clustering. Firstly,the advantages and disadvantages of several typical algorithms are introduced and analyzed. After comparison,the paper summarizes the problem of the selection of image segmentation algorithm in practical work. In recent years,the traditional segmentation algorithms were improved and combined by the researchers,it believes that more new algorithms are blown out.
作者
赵祥宇
陈沫涵
ZHAO Xiang-yu;CHEN Mo-han(School of Optical Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Southwest Weiyu Middle School,Shanghai 200093,China)
出处
《信息技术》
2018年第6期92-94,99,共4页
Information Technology
基金
国家自然科学基金资助项目(81101116)
关键词
聚类算法
图像分割
分类
clustering algorithm
image segmentation
classilication
