基于内容的医学图像检索采用统计空间方法提取特征,用于基于内容的医学图像检索

B. Ergen, M. Baykara
{"title":"基于内容的医学图像检索采用统计空间方法提取特征,用于基于内容的医学图像检索","authors":"B. Ergen, M. Baykara","doi":"10.1109/SIU.2010.5650320","DOIUrl":null,"url":null,"abstract":"However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Content based medical image retrieval feature extraction of using statistical spatial methods for content based medical image retrieval\",\"authors\":\"B. Ergen, M. Baykara\",\"doi\":\"10.1109/SIU.2010.5650320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5650320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5650320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

然而医学图像档案应用广泛,这些档案都是基于文本查询的。近年来,基于内容的图像检索系统在通用图像归档中取得了成功的成果。因此,医学图像归档中基于内容的检索也开始了研究。在本研究中,研究了基于内容的医学图像检索中灰度共生矩阵和小波变换获得的特征的性能。最后,揭示了两种方法都可以得到的结果。
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 feature extraction of using statistical spatial methods for content based medical image retrieval
However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed.
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