{"title":"A New Image Segmentation Approach by Using Automation Threshold Selection","authors":"Y. Zou, Bencheng Chai, Qili Xiao","doi":"10.1109/SKG.2010.72","DOIUrl":null,"url":null,"abstract":"This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.","PeriodicalId":105513,"journal":{"name":"2010 Sixth International Conference on Semantics, Knowledge and Grids","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Sixth International Conference on Semantics, Knowledge and Grids","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKG.2010.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
