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Algorithms for Vein Image Enhancement and Matching in the Cloud IoT-Based M-Health Environment

Algorithms for Vein Image Enhancement and Matching in the Cloud IoT-Based M-Health Environment
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Copyright: 2021
Pages: 30
Source title: Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities
Source Author(s)/Editor(s): Kamta Nath Mishra (Birla Institute of Technology, India) and Subhash Chandra Pandey (Birla Institute of Technology, India)
DOI: 10.4018/978-1-7998-4537-9.ch004

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Abstract

In this chapter, the authors have described the methodologies to achieve the objectives of veins image enhancement, feature extractions, and matching with other veins images in the cloud IoT-based m-health environment. The initial steps to propose the algorithms for veins image enhance and feature extractions will have five parts. Once the proposed algorithm is written, the hardware architecture designs of the proposed veins image enhancements and feature extraction algorithm will be described by the authors. The hardware designs are presented in subsequent sections of this chapter. Further, the hardware designs are elaborated in detail for each of the techniques. The presented algorithms are implemented in MATLAB 11.0 software, and these algorithms are simulated and integrated with different veins sample images. The hardware designs of veins image enhancements and feature extractions are implemented using Verilog Hardware Language Description (VHLD), and these implemented results are simulated using MSA (Model-Sim-Altera) for sample images of different types of veins.

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