计算机工程与科学2009，Vol.31Issue(12)：56-57,64,3.DOI:10.3969/j.issn.1007-130X.2009.12.016
基于分水岭变换和FCM的图像分割
Image Segmentation Based on Watershed Transform and FCM
摘要
Abstract
A new image segmentation algorithm based on watershed transformation and fuzzy C means clustering is proposed for solving the problems of noise-sensitive and over-segmentation watershed transformation. The algorithm also solves the shortage that the initial value is uncertain in the Fuzzy C-means clustering algorithm. The experimental results show that the algorithm is an effective way to segment the target partition quickly and accurately.关键词
分水岭变换/模糊C均值聚类/图像分割Key words
watershed transformation/fuzzy C-means clustering/image segmentation分类
信息技术与安全科学引用本文复制引用
李春月,李峰,曹鹏,吕回..基于分水岭变换和FCM的图像分割[J].计算机工程与科学,2009,31(12):56-57,64,3.基金项目
湖南省高等学校科学研究重点资助项目(08A001) （08A001）
湖南省自然科学基金重点资助项目(07JJ3120) （07JJ3120）
