{"title":"利用可见色差和canny边缘检测器进行彩色图像分割","authors":"A. G. Kibria, M. Islam","doi":"10.1109/ICCITECHN.2012.6509727","DOIUrl":null,"url":null,"abstract":"This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Color image segmentation using visible color difference and canny edge detector\",\"authors\":\"A. G. Kibria, M. Islam\",\"doi\":\"10.1109/ICCITECHN.2012.6509727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.\",\"PeriodicalId\":127060,\"journal\":{\"name\":\"2012 15th International Conference on Computer and Information Technology (ICCIT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 15th International Conference on Computer and Information Technology (ICCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHN.2012.6509727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 15th International Conference on Computer and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2012.6509727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color image segmentation using visible color difference and canny edge detector
This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.
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
