Analyzing skin wound texture with edge detection method using thermal threshold and comparing wound healing rate measurement with binarization

Analyzing skin wound texture with edge detection method using thermal threshold and comparing wound healing rate measurement with binarization

This effort will use the Novel Thermal threshold operator and compare it with Binarization in order to develop a novel edge detection method for gauging the pace of wound healing. Sections and Procedures: We apply two edge detection approaches, namely Binarization and Novel Thermal threshold, to det...

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Hauptverfasser: Raviteja, C., Priyadarshini, P. S. Uma
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Sprache:eng
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Edge detection
Statistical methods
Wound healing
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Priyadarshini, P. S. Uma
description This effort will use the Novel Thermal threshold operator and compare it with Binarization in order to develop a novel edge detection method for gauging the pace of wound healing. Sections and Procedures: We apply two edge detection approaches, namely Binarization and Novel Thermal threshold, to determine the wound healing rate. We used 80% of the pretest power to assess Group 1, which included twelve samples using Novel Thermal threshold, & Group 2, which included twelve samples utilizing binarization. The linearization technique had an accuracy rate of 88.10% and a wound healing rate of 0.38%, while the innovative thermal threshold edge detection method achieved a rate of 88.10%. A 0.006 (p
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subjects Edge detection
Statistical methods
Wound healing
title Analyzing skin wound texture with edge detection method using thermal threshold and comparing wound healing rate measurement with binarization
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