首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于模糊C均值聚类和数学形态学的图像分割
引用本文:魏晋相,汪华章,何小海.基于模糊C均值聚类和数学形态学的图像分割[J].成都信息工程学院学报,2008,23(6):618-621.
作者姓名:魏晋相  汪华章  何小海
作者单位:四川大学电子信息学院,四川,成都,610064
摘    要:心肌细胞钙离子实时激光扫描共聚焦光学切片呈现为点状分布的荧光图像并且受到噪声的严重干扰,单独利用模糊C均值聚类不能对这种图形进行有效分割。针对这种特定的图像提出了一种基于模糊C均值聚类和数学形态学的图像分割算法。首先利用邻域平均对图像预处理,然后利用模糊C均值聚类做分割,最后利用数学形态学的方法对图像做了平滑、连通和去噪处理。这种方法,不但有效地抑制了噪声,而且分割出的图像边缘连续、清晰。

关 键 词:数据挖掘  加权关联规则  加权支持度

Image segmentation based on fuzzy C-means clustering and mathematical morphology
WEI Jin-xiang,WANG Hua-zhang,HE Xiao-hai.Image segmentation based on fuzzy C-means clustering and mathematical morphology[J].Journal of Chengdu University of Information Technology,2008,23(6):618-621.
Authors:WEI Jin-xiang  WANG Hua-zhang  HE Xiao-hai
Institution:WEI Jin-xiang,WANG Hua-zhang,HE Xiao-hai(College of Electronic Information,SCU,Chengdu 610064,China)
Abstract:The fluorescent images on the laser scanning optical biopsy of the myocardial cell calcium-confocal have the points-like distribution and interfered seriously by the noise.Using alone the fuzzy C-means clustering such graphics cannot be effectively divided.Hence an image segmentation algorithm based on the fuzzy C-means clustering and mathematical morphology is presented.This algorithm uses an average field of the image segmentation to preprocess,then uses the fuzzy C-means clustering to divide and finally ...
Keywords:myocardial cell  area average  fuzzy C-means clustering  mathematical morphology  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号