基于内容的带有亮度的通用傅里叶描述子医学图像检索

Ashok Vijay, M. Bhattacharya
{"title":"基于内容的带有亮度的通用傅里叶描述子医学图像检索","authors":"Ashok Vijay, M. Bhattacharya","doi":"10.1109/ICMV.2009.42","DOIUrl":null,"url":null,"abstract":"Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Content-Based Medical Image Retrieval Using the Generic Fourier Descriptor with Brightness\",\"authors\":\"Ashok Vijay, M. Bhattacharya\",\"doi\":\"10.1109/ICMV.2009.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor\",\"PeriodicalId\":315778,\"journal\":{\"name\":\"2009 Second International Conference on Machine Vision\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Conference on Machine Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMV.2009.42\",\"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 Second International Conference on Machine Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMV.2009.42","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

基于内容的医学图像检索(CBMIR)是近年来一个非常活跃的研究领域。提出了一种基于图像形状提取关键信息的有效方法和算法。我们使用带有亮度的通用傅里叶描述子(GFD)作为附加参数来获得较好的检索精度。图像以极坐标形式表示,对其进行二维傅里叶变换得到GFD。所获得的描述符与应用无关,并且具有鲁棒性。实验结果表明,与其他基于轮廓的描述符相比,具有亮度的GFD具有更好的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content-Based Medical Image Retrieval Using the Generic Fourier Descriptor with Brightness
Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor
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