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Proceedings Paper

Study on fruit quality measurement and evaluation based on color identification
Author(s): Yizhong Wang; Yanhua Cui; Shaohui Chen; Ping Zhang; Huafang Huang
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Paper Abstract

A non-destructive measuring and evaluating method for fruits is proposed based on color identification. The color images of fruits are taken firstly. Then, images' RGB histograms are calculated and used as quality parameters for fruits. A BP neural network with three layers is established. Its input and output are the RGB histograms and evaluating results, respectively. After training, the qualities of fruits are identified by the BP network according to the histogram of RGB of fruits' images. For verifying the proposed method, the qualities of bananas are measured and evaluated. Experiment results show the reliability and feasibility of proposed method.

Paper Details

Date Published: 24 November 2009
PDF: 6 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130F (24 November 2009); doi: 10.1117/12.839698
Show Author Affiliations
Yizhong Wang, Tianjin Univ. of Science and Technology (China)
Yanhua Cui, Tianjin Univ. of Science and Technology (China)
Shaohui Chen, National Engineering and Technology Research Ctr. for Preservation of Agricultural Products (China)
Ping Zhang, National Engineering and Technology Research Ctr. for Preservation of Agricultural Products (China)
Huafang Huang, Tianjin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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