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基于HSI空间模糊聚类的彩色图像分割新方法

邱磊 管一弘

微型机与应用2011,Vol.30Issue(22):46-48,3.
微型机与应用2011,Vol.30Issue(22):46-48,3.

基于HSI空间模糊聚类的彩色图像分割新方法

Fuzzy clustering based on HIS color space for color image segmentation

邱磊 1管一弘1

作者信息

  • 1. 昆明理工大学理学院,云南昆明650093
  • 折叠

摘要

Abstract

Fuzzy C-Mean(FCM) algorithm has been wildely used in the field of color image segmentation. But the convention- al FCM is sensitive to the noise because the spatial information is not being considered. To solve this problem, a new fuzzy clustering algorithm in HIS color space is proposed based on pixel's spatial neighborhood and pixel value. Experimental results prove that it has a good result to high noise image.

关键词

彩色图像分割/HIS彩色空间/邻域均值/模糊C均值

Key words

color image segmentation/HIS color space/mean value in neighborhood/FCM

分类

信息技术与安全科学

引用本文复制引用

邱磊,管一弘..基于HSI空间模糊聚类的彩色图像分割新方法[J].微型机与应用,2011,30(22):46-48,3.

微型机与应用

2097-1788

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