{"title":"利用颜色信息改进了基于活动轮廓的目标分割","authors":"B. C. Nguyen, H. Nguyen, Khanh Gia Dinh, D. Vo","doi":"10.1109/ATC.2015.7388419","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel method to segment objects based on color informations. The paper analyses the accuracy limitation of the previous methods using grayscale informations. Based on these analyses, the paper improves the object boundary detection by expanding energy calculation equations for color information channels. The algorithm uses all three RGB color channels to increase the accuracy. Simulation results on the large image data set verify the proposed algorithm's efficiency.","PeriodicalId":142783,"journal":{"name":"2015 International Conference on Advanced Technologies for Communications (ATC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved active contour based object segmentation using color informations\",\"authors\":\"B. C. Nguyen, H. Nguyen, Khanh Gia Dinh, D. Vo\",\"doi\":\"10.1109/ATC.2015.7388419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel method to segment objects based on color informations. The paper analyses the accuracy limitation of the previous methods using grayscale informations. Based on these analyses, the paper improves the object boundary detection by expanding energy calculation equations for color information channels. The algorithm uses all three RGB color channels to increase the accuracy. Simulation results on the large image data set verify the proposed algorithm's efficiency.\",\"PeriodicalId\":142783,\"journal\":{\"name\":\"2015 International Conference on Advanced Technologies for Communications (ATC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Advanced Technologies for Communications (ATC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATC.2015.7388419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Advanced Technologies for Communications (ATC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATC.2015.7388419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved active contour based object segmentation using color informations
This paper proposes a novel method to segment objects based on color informations. The paper analyses the accuracy limitation of the previous methods using grayscale informations. Based on these analyses, the paper improves the object boundary detection by expanding energy calculation equations for color information channels. The algorithm uses all three RGB color channels to increase the accuracy. Simulation results on the large image data set verify the proposed algorithm's efficiency.