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A Simple Multispectral Imaging Algorithm for Detection of Defects on Red Delicious Apples
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 바이오시스템공학 = Journal of biosystems engineering |
| ISSN | 1738-1266, |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Lee, Hoyoung,Yang, Chun-Chieh,Kim, Moon S.,Lim, Jongguk,Cho, Byoung-Kwan,Lefcourt, Alan,Chao, Kuanglin,Everard, Colm D. |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2014-01-01 |
| 초록 | Purpose: A multispectral algorithm for detection and differentiation of defective (defects on apple skin) and normal Red Delicious apples was developed from analysis of a series of hyperspectral line-scan images. Methods: A fast line-scan hyperspectral imaging system mounted on a conventional apple sorting machine was used to capture hyperspectral images of apples moving approximately 4 apples per second on a conveyor belt. The detection algorithm included an apple segmentation method and a threshold function, and was developed using three wavebands at 676 nm, 714 nm and 779 nm. The algorithm was executed on line-by-line image analysis, simulating online real-time line-scan imaging inspection during fruit processing. Results: The rapid multispectral algorithm detected over 95% of defective apples and 91% of normal apples investigated. Conclusions: The multispectral defect detection algorithm can potentially be used in commercial apple processing lines. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201418342936497 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
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| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Apples,Defect detection,Hyperspectral imaging,Line-scan imaging,Multispectral |