全局模糊c均值(GFCM)聚类算法在色彩传递中的应用

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI:10.1109/CISP.2009.5304344

Xinhua Zou, Ruomei Wang, Zhong Wang, Yong-ping Liu

{"title":"全局模糊c均值(GFCM)聚类算法在色彩传递中的应用","authors":"Xinhua Zou, Ruomei Wang, Zhong Wang, Yong-ping Liu","doi":"10.1109/CISP.2009.5304344","DOIUrl":null,"url":null,"abstract":"This paper proposes a color transfer approach based on Global Fuzzy C-Means (GFCM) clustering algorithm. GFCM algorithm is adopted to locate the matching areas between the images in lαβ space and to prevent the clustering processing from falling into the local optimal solution. The experiment shows that comparing to the traditional FCM method; GFCM method can obtain a better clustering result in a shorter time and achieve more natural and smoother visual effects.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Global Fuzzy C-Means (GFCM) Clustering Algorithm in Color Transfer\",\"authors\":\"Xinhua Zou, Ruomei Wang, Zhong Wang, Yong-ping Liu\",\"doi\":\"10.1109/CISP.2009.5304344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a color transfer approach based on Global Fuzzy C-Means (GFCM) clustering algorithm. GFCM algorithm is adopted to locate the matching areas between the images in lαβ space and to prevent the clustering processing from falling into the local optimal solution. The experiment shows that comparing to the traditional FCM method; GFCM method can obtain a better clustering result in a shorter time and achieve more natural and smoother visual effects.\",\"PeriodicalId\":263281,\"journal\":{\"name\":\"2009 2nd International Congress on Image and Signal Processing\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Congress on Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP.2009.5304344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Congress on Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2009.5304344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种基于全局模糊c均值(GFCM)聚类算法的色彩传递方法。采用GFCM算法在l - αβ空间中定位图像之间的匹配区域，防止聚类处理陷入局部最优解。实验表明，与传统的FCM方法相比;GFCM方法可以在更短的时间内获得更好的聚类结果，获得更自然、更流畅的视觉效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Application of Global Fuzzy C-Means (GFCM) Clustering Algorithm in Color Transfer

This paper proposes a color transfer approach based on Global Fuzzy C-Means (GFCM) clustering algorithm. GFCM algorithm is adopted to locate the matching areas between the images in lαβ space and to prevent the clustering processing from falling into the local optimal solution. The experiment shows that comparing to the traditional FCM method; GFCM method can obtain a better clustering result in a shorter time and achieve more natural and smoother visual effects.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 2nd International Congress on Image and Signal Processing

自引率

0.00%

发文量