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Performance Evaluation of Hardware Designs, Thinning, and Segmentation Algorithms in M-Health Environments

Performance Evaluation of Hardware Designs, Thinning, and Segmentation Algorithms in M-Health Environments
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Copyright: 2021
Pages: 21
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.ch006

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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.

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