首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Segmentation of Natural Color Images in H SI Color Space Based on FCM Clustering
  • 本地全文:下载
  • 作者:Ganesan P ; PriyaChakravarty ; Shweta Verma
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:618-622
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Image segmentation is a process that divides an image into several images according to its gray level, color, texture, shape or other features. Segmentation subdivides an image into constituent regions or objects. It is a basic technology in the area of image processing and computer vision. It is an important and challenging problem and a necessary first step in image analysis as well as in high-level image interpretation and understanding such as robotics vision, object recognition, and bio-medical imaging. In this paper FCM (fuzzy c means clustering) based segmentation of natural image is compared with the HSI color space of natural images and conclusion is drawn on the basis of comparison There are various methods used for the segmentation of natural images, but fuzzy based approaches are most popular and widely used because they have a good performance in a large class of images.
  • 关键词:clustering; color space; FCM; image ; segmentation; HSI color space RGB color space
国家哲学社会科学文献中心版权所有