Quality fruit grading by colour machine vision: Defect recognition

Acta Horticulturae

Volumn 517, Issue , 2000, Pages 405-412

  Leemans, V ^a   Destain, M F ^a   Magein, H ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Apples; Defects recognition; Grading; Machine vision; Quality

Indexed keywords

EID: 0042375375     PISSN: 05677572     EISSN: None     Source Type: Book Series    
DOI: 10.17660/ActaHortic.2000.517.51     Document Type: Conference Paper

References (6)

1. Anonymous 1989. Norme de qualité des pommes et poires de table. Journal des Communautés europdennes, L97/19 . Règlement CEE 920/89
2. Anonymous 1994. Image-Pro Plus Reference Guide. Media Cybernetics, L.P. 554, Silver Spring - Maryland - USA
3. Dagnelie P. 1975. Analyse statistique a plusieurs variables. Les presses agronomiques de Gembloux: 362, Gembloux
4. Leemans V., Magein H., Destain M.-F. 1997. Mesure par vision artificielle des caractéristiques externes de pommes en vue d'établir un classement. Rapport d'activité du Centre de recherche de mdthodes non-destructives permettant d'apprdcier "on-line" la qualite des pommes 1996-1997: 131, Gembloux . unpubi.
5. Leemans V., Magein H., Destain M.-F. 1998. Defects segmentation on 'Golden Delicious' apples by using colour machine vision. Computers and Electronics in Agriculture, Elsevier Science. Accepted for publication on 16 january 1998
6. Yang Q., R.D.Tillet 1995. Neural network classifier in apple blemish inspection. Preprints of 1St workshop on Control applications in post-harvest and processing technology. J. De Baerdemaeker and J. Vandewalle: 137-14 1