利用颜色信息改进了基于活动轮廓的目标分割

B. C. Nguyen, H. Nguyen, Khanh Gia Dinh, D. Vo
{"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}
引用次数: 1

摘要

提出了一种基于颜色信息的目标分割方法。分析了以往灰度信息提取方法的精度局限性。在此基础上,通过扩展颜色信息通道的能量计算方程,改进了目标边界检测。该算法使用所有三个RGB颜色通道来提高精度。在大型图像数据集上的仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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
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:481959085
Book学术官方微信