Defect segmentation on ‘Jonagold’ apples using colour vision and a Bayesian classification method-Reference-Cited by-同舟云学术

Defect segmentation on ‘Jonagold’ apples using colour vision and a Bayesian classification method

Published:1999-06 Issue:1 Volume:23 Page:43-53
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Leemans V,Magein H,Destain M.-F

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference5 articles.

1. Anonymous, 1989, Norme de qualité des pommes et poires de table. Journal des Communautés européennes, L97/19; Règlement CE 920/89.

2. Defects segmentation on ‘Golden Delicious’ apples by using colour machine vision;Leemans;Comput. Electron. Agric.,1998

3. Machine vision for non destructive evaluation of fruit quality. Proceedings of the Second International Symposium on Sensors in Horticulture;Moltó;Acta Horticulturae,1995

4. Nakano Kazuhiro, 1997, Application of neural networks to the color grading of apples. Comput. Electron. Agric. 18, 105–116.

5. An approach to apple surface feature detection by machine vision;Yang;Comput. Electron. Agric.,1994

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