利用二次谐波图像区分小鼠妊娠的不同阶段

S. Yousefi, N. Kehtarnavaz, M. Akins, K. Luby‐Phelps, M. Mahendroo
{"title":"利用二次谐波图像区分小鼠妊娠的不同阶段","authors":"S. Yousefi, N. Kehtarnavaz, M. Akins, K. Luby‐Phelps, M. Mahendroo","doi":"10.1109/SSST.2010.5442801","DOIUrl":null,"url":null,"abstract":"This paper presents an image processing approach for distinguishing three pregnancy stages of mice using Second Harmonic Generation (SHG) microscopy images. Three classes of SHG images for day 6, day 12 and day 18 of the 19-day mouse gestation period are considered. A classification is performed based on morphological features previously used for such SHG images, wavelet-based texture features, and a combination of morphological and wavelet-based texture features. It is shown that the combination of the features provide a more effective mechanism for distinguishing the three stages of mouse pregnancy as compared to each separate set of features.","PeriodicalId":6463,"journal":{"name":"2010 42nd Southeastern Symposium on System Theory (SSST)","volume":"17 1","pages":"44-46"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Distinguishing different stages of mouse pregnancy using Second Harmonic Generation images\",\"authors\":\"S. Yousefi, N. Kehtarnavaz, M. Akins, K. Luby‐Phelps, M. Mahendroo\",\"doi\":\"10.1109/SSST.2010.5442801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an image processing approach for distinguishing three pregnancy stages of mice using Second Harmonic Generation (SHG) microscopy images. Three classes of SHG images for day 6, day 12 and day 18 of the 19-day mouse gestation period are considered. A classification is performed based on morphological features previously used for such SHG images, wavelet-based texture features, and a combination of morphological and wavelet-based texture features. It is shown that the combination of the features provide a more effective mechanism for distinguishing the three stages of mouse pregnancy as compared to each separate set of features.\",\"PeriodicalId\":6463,\"journal\":{\"name\":\"2010 42nd Southeastern Symposium on System Theory (SSST)\",\"volume\":\"17 1\",\"pages\":\"44-46\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 42nd Southeastern Symposium on System Theory (SSST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.2010.5442801\",\"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 42nd Southeastern Symposium on System Theory (SSST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2010.5442801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本文提出了一种利用二次谐波(SHG)显微镜图像区分小鼠妊娠三个阶段的图像处理方法。考虑小鼠妊娠期第6天、第12天和第18天的三类SHG图像。基于先前用于此类SHG图像的形态学特征、基于小波的纹理特征以及形态学和基于小波的纹理特征的组合进行分类。结果表明,与单独的特征集相比,这些特征的组合提供了一种更有效的机制来区分小鼠妊娠的三个阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Distinguishing different stages of mouse pregnancy using Second Harmonic Generation images
This paper presents an image processing approach for distinguishing three pregnancy stages of mice using Second Harmonic Generation (SHG) microscopy images. Three classes of SHG images for day 6, day 12 and day 18 of the 19-day mouse gestation period are considered. A classification is performed based on morphological features previously used for such SHG images, wavelet-based texture features, and a combination of morphological and wavelet-based texture features. It is shown that the combination of the features provide a more effective mechanism for distinguishing the three stages of mouse pregnancy as compared to each separate set of features.
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
期刊最新文献
Vision-based lane detection for an autonomous ground vehicle: A comparative field test A new TDOA/FDOA-based recursive geolocation algorithm Implementation of headway compensation on autonomous vehicle convoys with command shaping A practical solution to the numerical butterfly effect in chaotic systems for fast but memory limited computers Analysis of induced surface currents on high velocity target using a relativistic approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1