Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

Author:

Zhang Baohua,Huang Wenqian,Gong Liang,Li Jiangbo,Zhao Chunjiang,Liu Chengliang,Huang Danfeng

Funder

Young Scientist Fund of National Natural Science Foundation of China

National High-tech R&D Program of China

National Key Technology R&D Program

Publisher

Elsevier BV

Subject

Food Science

Reference34 articles.

1. Multispectral inspection of citrus in real-time using machine vision and digital signal processors;Aleixos;Comput. Electron. Agric.,2002

2. Performance of a system for apple surface defect identification in near-infrared images;Bennedsen;Biosyst. Eng.,2005

3. Blasco, J., Moltó, E., 2002. Identification of defects in citrus using multispectral imaging. In: International Conference on Agricultural Engineering. AgEng 02, Budapest, Hungary: EurAgEng Paper No. 02-AE-031.

4. Machine vision system for automatic quality grading of fruit;Blasco;Biosyst. Eng.,2003

5. Inspection and grading of agricultural and food products by computer vision systems—a review;Brosnan;Comput. Electron. Agric.,2002

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