基于边缘方向的各向异性扩散变换

HyeSuk Kim, H. Yoon, Nguyen Dinh Toan, Gueesang Lee
{"title":"基于边缘方向的各向异性扩散变换","authors":"HyeSuk Kim, H. Yoon, Nguyen Dinh Toan, Gueesang Lee","doi":"10.1109/CIT.2008.WORKSHOPS.100","DOIUrl":null,"url":null,"abstract":"This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), anisotropic diffusion method tailored to ultrasonic imaging applications. The conventional anisotropic diffusion is performed in four directions without condition in the previous method. In this paper, a new anisotropic diffusion transform based on directions of edges is proposed. The proposed diffusion is not performed at a pixel which is not an edge. The range of proposed diffusion is selected adaptively according to the number of the directions of edges. Experiments results show that the process time of the proposed method over conventional methods, can be faster slightly. Also, the proposed method can improve the image quality of diagonal edges in ultrasound image with speckle noise.","PeriodicalId":155998,"journal":{"name":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Anisotropic Diffusion Transform Based on Directions of Edges\",\"authors\":\"HyeSuk Kim, H. Yoon, Nguyen Dinh Toan, Gueesang Lee\",\"doi\":\"10.1109/CIT.2008.WORKSHOPS.100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), anisotropic diffusion method tailored to ultrasonic imaging applications. The conventional anisotropic diffusion is performed in four directions without condition in the previous method. In this paper, a new anisotropic diffusion transform based on directions of edges is proposed. The proposed diffusion is not performed at a pixel which is not an edge. The range of proposed diffusion is selected adaptively according to the number of the directions of edges. Experiments results show that the process time of the proposed method over conventional methods, can be faster slightly. Also, the proposed method can improve the image quality of diagonal edges in ultrasound image with speckle noise.\",\"PeriodicalId\":155998,\"journal\":{\"name\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIT.2008.WORKSHOPS.100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIT.2008.WORKSHOPS.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本文给出了适合超声成像应用的散斑减小各向异性扩散方法(SRAD)的推导。传统的各向异性扩散方法是无条件地在四个方向上进行的。本文提出了一种新的基于边缘方向的各向异性扩散变换。所提出的扩散不是在非边缘的像素上执行的。根据边缘方向的数量自适应地选择扩散范围。实验结果表明,该方法的处理时间比传统方法略快。此外,该方法还可以改善带有散斑噪声的超声图像对角边缘的图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anisotropic Diffusion Transform Based on Directions of Edges
This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), anisotropic diffusion method tailored to ultrasonic imaging applications. The conventional anisotropic diffusion is performed in four directions without condition in the previous method. In this paper, a new anisotropic diffusion transform based on directions of edges is proposed. The proposed diffusion is not performed at a pixel which is not an edge. The range of proposed diffusion is selected adaptively according to the number of the directions of edges. Experiments results show that the process time of the proposed method over conventional methods, can be faster slightly. Also, the proposed method can improve the image quality of diagonal edges in ultrasound image with speckle noise.
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