基于Haar小波变换的软阈值热图像去噪

V. Nancy, G. Balakrishnan
{"title":"基于Haar小波变换的软阈值热图像去噪","authors":"V. Nancy, G. Balakrishnan","doi":"10.14299/ijser.2021.12.02","DOIUrl":null,"url":null,"abstract":"The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.","PeriodicalId":14354,"journal":{"name":"International journal of scientific and engineering research","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"De-Noising Thermal Image Based On Haar Wavelet Transform Using Soft Threshold Technique\",\"authors\":\"V. Nancy, G. Balakrishnan\",\"doi\":\"10.14299/ijser.2021.12.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.\",\"PeriodicalId\":14354,\"journal\":{\"name\":\"International journal of scientific and engineering research\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of scientific and engineering research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14299/ijser.2021.12.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of scientific and engineering research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14299/ijser.2021.12.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

热成像的概念由于其广泛的应用,近年来引起了许多研究人员、公司和医疗领域的关注。热像仪捕捉物体的图像,而不考虑光照条件。它甚至可以描绘出黑暗环境中的物体,这是一个额外的优势。因此,我们可以利用热图像对目标进行检测和分类处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
De-Noising Thermal Image Based On Haar Wavelet Transform Using Soft Threshold Technique
The concept of thermal imaging is inspiring the attention of many researchers, corporate companies and medical fields recently owing to its wide applications. The thermal camera captures the image of an object irrespective of the lighting condition. It can even picture the object in the dark environment, which is an added advantage. As a result, we can use the thermal image for object detection and classification process.
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