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Volumn 50, Issue 6, 2007, Pages 2257-2265

Identifying apple surface defects using principal components analysis and artificial neural networks

Author keywords

Apple; Defects detection; Image processing; Neural networks; Sorting

Indexed keywords

APPLE SURFACE DEFECTS; DEFECTS DETECTION; PREPROCESSING IMAGES; WIENER FILTERS;

EID: 38549147537     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (7)
  • 2
    • 4243101085 scopus 로고    scopus 로고
    • Use of unsupervised feature extraction for sorting fruits and vegetables
    • Potsdam, Germany: Leibniz Institute for Agricultural Engineering ATB
    • Bennedsen, B. S. 2001. Use of unsupervised feature extraction for sorting fruits and vegetables. In Proc. 6th Intl. Symposium: Fruit, Nut, and Vegetable Production Engineering, 357-361. Potsdam, Germany: Leibniz Institute for Agricultural Engineering (ATB).
    • (2001) Proc. 6th Intl. Symposium: Fruit, Nut, and Vegetable Production Engineering , pp. 357-361
    • Bennedsen, B.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.