Study on fruit quality measurement and evaluation based on color identification

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. © 2009 SPIE.published_or_final_versio