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모바일 디바이스를 이용한 환자 맞춤형 이미지 기반 황달 진단
- Alternative Title
- Image-based patient-personalized diagnosis of jaundice using mobile devices
- Author(s)
- 최성빈
- Alternative Author(s)
- Choi Seong Bin
- Advisor
- 선우명훈
- Department
- 일반대학원 전자공학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2018-08
- Language
- eng
- Alternative Abstract
- Jaundice is a yellow discoloration of the skin, mucous membranes, and sclera caused by increased amounts of total bilirubin in the blood. Patients frequently visiting to the hospital to monitor jaundice and measuring the total bilirubin values are uncomfortable. To solve these problems, this paper proposes an image-based diagnostic method of jaundice for mobile devices. The proposed algorithm extracts the scleral region by applying the Otsu method to the patient image captured by mobile devices, performs preprocessing to correct image and removes the light reflection in the scleral region. Then the proposed algorithm based on the HSV color model is used to obtain image feature values that show the progression of jaundice. Simulation results have been obtained by applying the proposed method to image history of jaundice patients, which show that total bilirubin values are well matched with the image feature values.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Electronic Engineering > 3. Theses(Master)
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