{"title":"Approaches for M-Health Environment","authors":"","doi":"10.4018/978-1-7998-4537-9.ch003","DOIUrl":null,"url":null,"abstract":"It is a well-known fact that when a camera or other imaging system captures an image, often, the vision system for which it is captured cannot implement it directly. There may be several reasons behind this fact such as there can exist random intensity variation in the image. There can also be illumination variation in the image or poor contrast. These drawbacks must be tackled at the primitive stages for optimum vision processing. This chapter will discuss different filtering approaches for this purpose. The chapter begins with the Gaussian filter, followed by a brief review of different often used approaches. Moreover, this chapter will also render different filtering approaches including their hardware architectures.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-4537-9.ch003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

It is a well-known fact that when a camera or other imaging system captures an image, often, the vision system for which it is captured cannot implement it directly. There may be several reasons behind this fact such as there can exist random intensity variation in the image. There can also be illumination variation in the image or poor contrast. These drawbacks must be tackled at the primitive stages for optimum vision processing. This chapter will discuss different filtering approaches for this purpose. The chapter begins with the Gaussian filter, followed by a brief review of different often used approaches. Moreover, this chapter will also render different filtering approaches including their hardware architectures.
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
移动医疗环境的途径
众所周知,当相机或其他成像系统捕获图像时,通常,被捕获的视觉系统不能直接实现它。这一事实背后可能有几个原因,例如图像中可能存在随机强度变化。图像中也可能存在光照变化或对比度差。这些缺点必须在原始阶段解决,以获得最佳的视觉处理。本章将讨论用于此目的的不同过滤方法。本章从高斯滤波器开始,然后简要回顾不同的常用方法。此外,本章还将介绍不同的过滤方法,包括它们的硬件架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Approaches for M-Health Environment Results and Discussions of Palm-Dorsa-Veins-Based Systems in the Cloud IoT-Based M-Health Environment The Panoramic Views of Cloud IoT-Based M-Health Biometrics A Glimpse of Hardware Design Approaches Future Generation Computing in M-Health
×
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