发布求助
文献互助 智能选刊 最新文献

Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction最新文献

筛选
英文 中文
Results and Discussions of Palm-Dorsa-Veins-Based Systems in the Cloud IoT-Based M-Health Environment 基于手掌-手背-静脉系统在基于云物联网的移动健康环境中的结果与讨论
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch007
{"title":"Results and Discussions of Palm-Dorsa-Veins-Based Systems in the Cloud IoT-Based M-Health Environment","authors":"","doi":"10.4018/978-1-7998-4537-9.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch007","url":null,"abstract":"The results of palm-dorsa-veins-based m-health systems in a cloud-computing environment are discussed and analyzed in a detailed way in this chapter of the book. The sample images S1, S2, S3, and S4 are being used for hardware designs and performance evaluation in the cases of re-sampling, segmentation, median filters, thinning and Top veins, which will be used for critically ill and general patients' identity verification in the cloud IoT-based m-health environments. The ModelSim-Altera hardware design language is used as a simulator tool to simulate the hardware design with sample veins images. Further, the ModelSim-Altera simulation outcomes are compared with MATLAB implementations for evaluating the performances of hardware designs of the described algorithms in the cloud IoT-based m-health environment. The outcomes are analyzed, and the details of these outcomes are discussed in this chapter.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122651834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Glimpse of Hardware Design Approaches 硬件设计方法的一瞥
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch002
{"title":"A Glimpse of Hardware Design Approaches","authors":"","doi":"10.4018/978-1-7998-4537-9.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch002","url":null,"abstract":"In this chapter, the authors have described that in order to design the vein enhancement and feature extraction algorithm, different modules such as DSP, embedded processor, hardware accelerator, and FPGA are implemented. Further, it has also been revealed in this chapter that the performance of the vein algorithm implemented on the Nios-II and DSP processor is not considered fast though the DSP processor is designed for signal processing applications. The FPGA is an acceptable choice for researchers due to low-cost factors. The FPGA is implemented for the hardware design of the vein algorithm. However, the performance result was not fast. Furthermore, to cater to the need for better performance, innovative hardware design architecture is the need of the time. It is observed that if there are considerable calculations in the algorithm, the optimization of the algorithm with the parallel processing capabilities of hardware will be a good choice as it can mitigate the error of the calculations.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Approaches for M-Health Environment 移动医疗环境的途径
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch003
{"title":"Approaches for M-Health Environment","authors":"","doi":"10.4018/978-1-7998-4537-9.ch003","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch003","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":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114474508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Panoramic Views of Cloud IoT-Based M-Health Biometrics 基于云物联网的移动健康生物识别技术全景图
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch001
{"title":"The Panoramic Views of Cloud IoT-Based M-Health Biometrics","authors":"","doi":"10.4018/978-1-7998-4537-9.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch001","url":null,"abstract":"The veins-based biometric systems use the molds and patterns of the veins' images of the human body for identification in standalone systems or a cloud internet of things (IoT)-based networking environment. The beauty of using veins-based systems for identification is that the vein pattern cannot be stolen or duplicated or washed out because of its availability in the human body. Currently, vein patterns of fingers, hand, palm, heart, head, palm-dorsa, and wrist of humans are used for biometric identification purposed in cloud and IoT-based network environments. In this chapter, the authors have described different types of algorithms including parallel algorithms for identifying persons in clouds and IoT-based environments. The authors observed that many researchers have designed and developed several algorithms to improve and extract the veins patterns from different parts of the human body for identification in different types of environments including clouds and the internet of things.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123385130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Evaluation of Hardware Designs, Thinning, and Segmentation Algorithms in M-Health Environments 移动健康环境中硬件设计、细化和分割算法的性能评估
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch006
{"title":"Performance Evaluation of Hardware Designs, Thinning, and Segmentation Algorithms in M-Health Environments","authors":"","doi":"10.4018/978-1-7998-4537-9.ch006","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch006","url":null,"abstract":"In this chapter, the authors have described the experimental analysis steps required for converting original veins images into thinned veins images by applying resample, segmentation, filtering, and thinning algorithms in the cloud IoT-based m-health environments. It is a little bit difficult to make a distinction between the vein pattern and the surroundings particularly in the cases of unclear and thin veins images. However, after applying the resample, segmentation, median filters, and thinning algorithms in the cloud IoT-based m-health environment, the superior quality veins image patterns of a single line are obtained.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131266432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Future Generation Computing in M-Health 移动医疗中的下一代计算
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-4537-9.ch008
{"title":"Future Generation Computing in M-Health","authors":"","doi":"10.4018/978-1-7998-4537-9.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-4537-9.ch008","url":null,"abstract":"The implementation of healthcare-related big data in m-health has constantly been considered as the most prevalent technological breakthrough of the modern era. Indeed, the use of healthcare-related big data in m-health is a pivotal and substantially challenging task and is still not chiefly considered by the researchers. This is predominantly indispensable owing to the perpetual cascading of structured and unstructured datasets being elicited abundantly from multifold m-health applications within the purview of diverse healthcare systems. Perhaps, there are many innovative paradigms, which, if synergistically used in the domain of m-health, can generate the next level of computing in this purview. This chapter will render the relevance of big data from the point of view of m-health as well as the existing and future attributions of different machine and deep learning techniques in the pursuit of m-health.","PeriodicalId":198416,"journal":{"name":"Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
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