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RISSQuality factors of tobacco leaves were extracted and quantized using computer image processing and near infrared analysis. The efficiency of quality factors in tobacco leaf grading was analyzed statistically and major quality factors were determined u...
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RISS 인기검색어
컬러 컴퓨터 시각 및 NIR을 이용한 등급별 잎담배의 품질 정량화 = Quality Quantization of Tabacco Leaves Using Computer Vision and NIR
한글로보기https://www.riss.kr/link?id=A19597430
- 저자
- 발행기관
- 학술지명
- 권호사항
-
발행연도
1997
-
작성언어
Korean
-
KDC
472.000
-
자료형태
학술저널
-
수록면
41-48(8쪽)
- 제공처
-
0
상세조회 -
0
다운로드
부가정보
다국어 초록 (Multilingual Abstract)
Quality factors of tobacco leaves were extracted and quantized using computer image processing and near infrared analysis. The efficiency of quality factors in tobacco leaf grading was analyzed statistically and major quality factors were determined under computer image processing and NIR spectrum measurement. This research was done as a prerequisite process to develop the real time on-line automatic grading system of tobacco leaves. Spectrophotometer was used to analyze the color of the tobacco leaves in grading. Computer image processing was also done to measure external quality features of each grade of tobacco leaves such as color, size, and shape. The optical reflectance property of the internal chemical compound in the range of 800-1200nm was also measured using a spectrophotometer for the purpose of real time implementation. Tobacco leaves used for this research were classified using standard grade criteria.
Quality factors of tobacco leaves were extracted and quantized using computer image processing and near infrared analysis. The efficiency of quality factors in tobacco leaf grading was analyzed statistically and major quality factors were determined under computer image processing and NIR spectrum measurement. This research was done as a prerequisite process to develop the real time on-line automatic grading system of tobacco leaves. Spectrophotometer was used to analyze the color of the tobacco leaves in grading. Computer image processing was also done to measure external quality features of each grade of tobacco leaves such as color, size, and shape. The optical reflectance property of the internal chemical compound in the range of 800-1200nm was also measured using a spectrophotometer for the purpose of real time implementation. Tobacco leaves used for this research were classified using standard grade criteria.
목차 (Table of Contents)
- 1. 서 론
- 2. 재료 및 방법
- 2-1. 실험 장치
- 2-2. 실험 재료
- 2-3. 실험방법
- 1. 서 론
- 2. 재료 및 방법
- 2-1. 실험 장치
- 2-2. 실험 재료
- 2-3. 실험방법
- 3. 결과 및 고찰
- 3-1. 분광광도계에 의한 잎담배 개체의 색상정보 산출 및 분석
- 3-2. 컴퓨터 영상처리를 이용한 잎담배 개체의 형상정보 추출 및 분석
- 3-3. 근적외 분광분석에 의한 잎담배 개체의 분광특성 검출 및 분석
- 4. 요약 및 결론
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