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Volumn 28, Issue 2, 2012, Pages 284-288

Grading method of apple by maximum cross-sectional diameter based on computer vision

Author keywords

Algorithms; Apple; Classification; Machine vision; Models

Indexed keywords

APPLE; AUTOMATIC SORTING; CLASSIFICATION ACCURACY; CLASSIFICATION EFFICIENCY; COMMERCIAL APPLICATIONS; CONTOUR LINE; FRUIT AND VEGETABLES; FUJI APPLE; INDUSTRY STANDARDS; LINESCANNING; LOW RATES; MAXIMUM DISTANCE; MEAN FILTER; ON-MACHINES; PRE-TREATMENT; REALISTIC CONDITIONS; RGB COLOR MODEL; SORTING SYSTEM; THEORETICAL MODELS; THRESHOLD SEGMENTATION; TWO CHANNEL; TWO-POINT;

EID: 84862940487     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2012.02.049     Document Type: Article
Times cited : (21)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.