The Cell Image Segmentation Based on the K-L Transform and OTSU Method

Zhonghua Lin
{"title":"The Cell Image Segmentation Based on the K-L Transform and OTSU Method","authors":"Zhonghua Lin","doi":"10.1109/CMSP.2011.14","DOIUrl":null,"url":null,"abstract":"Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation of cell images is the crucial step in their analysis since results of segmentation directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation method based on the K-L transform and OTSU method. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.","PeriodicalId":309902,"journal":{"name":"2011 International Conference on Multimedia and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Multimedia and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMSP.2011.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation of cell images is the crucial step in their analysis since results of segmentation directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation method based on the K-L transform and OTSU method. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.
基于K-L变换和OTSU方法的细胞图像分割
医学细胞图像的自动分析在药理学研究中越来越受到重视。细胞图像的分割是细胞分析的关键步骤,分割结果直接影响到后续的定量分析步骤。本文提出了一种基于K-L变换和OTSU方法的细胞图像分割方法。通过K-L变换选择一个通道,并通过OTSU方法确定一个自动阈值。该方法已应用于几种细胞图像的分割。实验结果表明,该方法是实用有效的;该方法鲁棒性好,精度高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信