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基于图像分割应用于临床上检测HP的一种快速算法
引用本文:张焜毅,房少梅. 基于图像分割应用于临床上检测HP的一种快速算法[J]. 韶关学院学报, 2006, 27(6): 6-9
作者姓名:张焜毅  房少梅
作者单位:1. 华南肿瘤学国家重点实验室,中山大学附属肿瘤防治中心,放疗科,广东,广州,510080
2. 韶关学院,数学系,广东,韶关,512005
基金项目:国家自然科学基金资助项目(10571063,10471050),广东省科技计划项目(20051140019)
摘    要:研究了利用图像分割技术,去辨别染色后的胃部切片是否有HP(Helicobacter Pylori幽门螺旋菌),并给出了一种二维直方图与FCM(Fuzzy Clustering模糊聚类)相混合的图像分割方法.运用色彩特征抽取技术,可以更加精确和快捷地识别HP.

关 键 词:HP  图像分割  二维直方图  FCM  色彩特征选择
文章编号:1007-5348(2006)06-0006-04
收稿时间:2006-03-20
修稿时间:2006-03-20

Detecting HP (Helicobacter Pylori) in based on faster image segmentation method
ZHANG Kun-yi,FANG Shao-mei. Detecting HP (Helicobacter Pylori) in based on faster image segmentation method[J]. Journal of Shaoguan University(Social Science Edition), 2006, 27(6): 6-9
Authors:ZHANG Kun-yi  FANG Shao-mei
Affiliation:1. South China State Key Laboratory for Cancer Research, Department of Radiation Oncology Cancer Center of Sun Yat - Sen University, Guangzhou 510080, Guangdong, China; 2.Department of Mathematics, Shaoguan University, Shaoguan 512005, Guangdong,China
Abstract:Search for an image segmentation method to detect HP(Helicobacter Pylori)in stomach tissue.To give an approach which combine two-dimensional threshold,fuzzy clustering and selection of color features to segment the image.Experimental results appear the approach can increase detecting correct rate in a short time.
Keywords:HP  image segmentation  two-dimensional threshold  fuzzy clustering  selection of color features
本文献已被 CNKI 维普 万方数据 等数据库收录!
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