지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 발행연도
- 2013
- 저작권
- 대전대학교 논문은 저작권에 의해 보호받습니다.
이용수0
이 논문의 연구 히스토리 (2)
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
A new tongue examination model by using color analysis according to the taste division of tongue. The proposed sytem consists of a tongue image acquisition in a predefined template, taste region segmentation, color distribution analysis and abnormality decision of tongue by color analysis using Hue-Saturation histograms and the part of a mobile application service.
Tongue DB which is classified into abnormality which is constructed with human tongue images captured from inpatients of an oriental medicine hospital. We divided 4 basic taste(bitter, sweet, salty and sour) regions and performed color distribution analysis targeting each region under HSI(Hue Saturation Intensity) color model. To minimize the influence of illumination, the histograms of H and S components only except I are utilized.
Using the analyzed results, the abnormality is discriminated by the criteria of the histogram range of normal tongues. Finally, a self tongue diagnosis system which can be used anytime and anywhere on mobile environment.
The abnormality of taste regions each by comparing the proposed diagnosis model with diagnosis results by a doctor of oriental medicine. We confirmed the 83.5% of classification results of abnormality by proposed algorithm is coincide with the doctor’s results. The proposed system is expected to be used in various on the area of the orental medicine and the mobile market.
Tongue DB which is classified into abnormality which is constructed with human tongue images captured from inpatients of an oriental medicine hospital. We divided 4 basic taste(bitter, sweet, salty and sour) regions and performed color distribution analysis targeting each region under HSI(Hue Saturation Intensity) color model. To minimize the influence of illumination, the histograms of H and S components only except I are utilized.
Using the analyzed results, the abnormality is discriminated by the criteria of the histogram range of normal tongues. Finally, a self tongue diagnosis system which can be used anytime and anywhere on mobile environment.
The abnormality of taste regions each by comparing the proposed diagnosis model with diagnosis results by a doctor of oriental medicine. We confirmed the 83.5% of classification results of abnormality by proposed algorithm is coincide with the doctor’s results. The proposed system is expected to be used in various on the area of the orental medicine and the mobile market.
목차
Ⅰ.서론 11.1 연구 배경 및 목적 11.2 연구 내용 4Ⅱ.관련된 기존 연구의 및 이론적 배경 52.1 기존의 연구 52.2 이론적 배경 62.2.1 설진 62.2.1.1 설진의 종류 72.2.2 혀의 영역 분할 82.2.3 컬러 영상 처리 122.2.3.1 RGB 컬러모델 132.2.3.2 HSI 컬러모델 162.2.3.3 YCbCr / YUV / YIQ 컬러모델 18Ⅲ.미각영역별 분할 및 색상분석 203.1 관심영역 설정 및 혀 영상 획득 223.2 혀의 미각영역별 분할 233.3 혀의 미각영역별 색상분석 및 모바일 연동 29Ⅳ.실험 및 결과 고찰 414.1 실험 환경 414.2 색상분석에 의한 미각영역별 이상 유무 판별 실험 46Ⅴ.결 론 57참고문헌 59
최근 본 자료
댓글(0)
0