Study on fruit quality measurement and evaluation based on color identification

Yizhong Wang; Yanhua Cui; Shaohui Chen; Ping Zhang; Huafang Huang

doi:10.1117/12.839698

24 November 2009 Study on fruit quality measurement and evaluation based on color identification

Yizhong Wang, Yanhua Cui, Shaohui Chen, Ping Zhang, Huafang Huang

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 75130F (2009) https://doi.org/10.1117/12.839698
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

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.

Citation Download Citation

Yizhong Wang, Yanhua Cui, Shaohui Chen, Ping Zhang, and Huafang Huang "Study on fruit quality measurement and evaluation based on color identification", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130F (24 November 2009); https://doi.org/10.1117/12.839698

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