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Development of an algorithm for Detecting Symptom level in patients with Scleroderma
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 Title & Authors
Development of an algorithm for Detecting Symptom level in patients with Scleroderma
Jeong, Jin-Hyeong; Lee, Ki-Young; Kim, Min-yeong; Kim, Nam-Sun; Lee, Sang-Sik;
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 Abstract
In this study, locality of scleroderma was detected. Diagnostic method is difficult for scleroderma (skin curing; Scleroderma), and it is done by comparing the images of the normal subjects to the scleroderma patients, after performing monochrome processing. The saturation, brightness, and contrast are adjusted, and they were converted by using the process of Well Filter. As a result, the images were able to be used to clearly distinguish the symptoms of scleroderma. In addition, in a video of a healthy person, the line of sight of the observation given the image of scleroderma patients above sea level of height as is to implement the closing process to the rear Well Filter even only in so that the horizontal plane, and out at intervals of graph the amplitude difference of the video have I asked. The diagnostic criteria were determined for the healthy subjects and the scleroderma patients.
 Keywords
Scleroderma;Skin;Rough;Well Filter;Elevation;Length;Brightness;Saturation;
 Language
English
 Cited by
 References
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