A Grading Method for Orange Based on Computer Vision

Abstract:

Fruit grading is an important step in postharvest processing. Based on the images of oranges, we can get those characters that describe the size and color of them. Then 16 features were used to grade the oranges. To the best of our knowledge, this is the first work that used the mean value of R, G, B, H, S, I and the variance of R, G, B, H, S, I together as parameters, and graded the oranges through Bayes inference method. Experimental result shows that our method is competitive.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 1158-1162
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.1158
• Online since: August 2012
• Authors: Dong Wu Wu, Qiang Xiong, Fang Fang Kong, Zhi Bin Pan, Xing Deng
• Keywords: Bayes Inference, Computer Vision, Fruit Grading, RGB Model

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