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Titolo:
Possible automatic cork quality control by artificial vision
Autore:
Benkirane, H; Benslimane, R; Hachmi, M; Sesbou, A;
Indirizzi:
Univ Sidi Mohamed Ben Abdellah, ESTF, LTTI, Fes, Morocco Univ Sidi MohamedBen Abdellah Fes Morocco ah, ESTF, LTTI, Fes, Morocco Ecole Natl Forestiere Ingn, Sale, Morocco Ecole Natl Forestiere Ingn Sale Morocco Forestiere Ingn, Sale, Morocco
Titolo Testata:
ANNALS OF FOREST SCIENCE
fascicolo: 4, volume: 58, anno: 2001,
pagine: 455 - 465
SICI:
1286-4560(200105/06)58:4<455:PACQCB>2.0.ZU;2-X
Fonte:
ISI
Lingua:
FRE
Soggetto:
CLASSIFICATION; LUMBER; RULES;
Keywords:
cork quality control; visual system; digital image; defect quantification; classification;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
29
Recensione:
Indirizzi per estratti:
Indirizzo: Benkirane, H Univ Sidi Mohamed Ben Abdellah, ESTF, LTTI, Route Imouzzer,BP2427, Fes, Morocco Univ Sidi Mohamed Ben Abdellah Route Imouzzer,BP 2427 Fes Morocco
Citazione:
H. Benkirane et al., "Possible automatic cork quality control by artificial vision", ANN FOR SCI, 58(4), 2001, pp. 455-465

Abstract

The quality control often requires some visual inspection systems for defects detection in industrial production. In such application, those systems offer more reliability and lower processing time than a human operator. So this paper aims to introduce an automatic procedure to quality control of cork bits used for quality estimation of cork stacks, which is based on digital image analysis techniques. This procedure tries to quantify defects density of cork bit and to classify them in different quality classes. Experimental results are presented in order to evaluate the performance of the proposed automatic procedure.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 24/01/20 alle ore 12:21:14