Paper
18 January 2005 Chromatic analysis of burn scar based on ANN by using photoelectrical technology
Baikun Wan, Hongzhi Qi, Dong Ming, Mingjian Zhang, Qifang Wang
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Abstract
In this paper a novel method for the chromatic analysis of burn scar is proposed. The aim of the algorithm is to evaluate the curative effect and set up the treatment plan pertinently, because the scar color is an impersonal parameter reflects the degree of scar hypertrophy. The method is based on artificial neural network (ANN) by using photoelectrical technique, and composed of three main parts: firstly capture the digital color images of the burn scar using CCD camera, then change the RGB color data of the burn scar into that of HSB color space and emend it using ANN, lastly judge the degree of burn scar hypertrophy by chromatic analysis using ANN again. The experimental results were good conformed to the degrees of scar hypertrophy given by clinical evaluations. It suggests that the chromatic analysis technique of the burn scar is valuable for further study and apply to the clinical engineering.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baikun Wan, Hongzhi Qi, Dong Ming, Mingjian Zhang, and Qifang Wang "Chromatic analysis of burn scar based on ANN by using photoelectrical technology", Proc. SPIE 5630, Optics in Health Care and Biomedical Optics: Diagnostics and Treatment II, (18 January 2005); https://doi.org/10.1117/12.570001
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Cited by 1 scholarly publication.
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KEYWORDS
Colorimetry

Skin

RGB color model

CCD cameras

Computing systems

Artificial neural networks

Detection and tracking algorithms

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