Color back projection for fruit maturity evaluation

Dong Zhang; Dah-Jye Lee; Alok Desai

doi:10.1117/12.2045374

3 February 2014 Color back projection for fruit maturity evaluation

Dong Zhang, Dah-Jye Lee, Alok Desai

Proceedings Volume 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques; 90250Y (2014) https://doi.org/10.1117/12.2045374
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

In general, fruits and vegetables such as tomatoes and dates are harvested before they fully ripen. After harvesting, they continue to ripen and their color changes. Color is a good indicator of fruit maturity. For example, tomatoes change color from dark green to light green and then pink, light red, and dark red. Assessing tomato maturity helps maximize its shelf life. Color is used to determine the length of time the tomatoes can be transported. Medjool dates change color from green to yellow, and the orange, light red and dark red. Assessing date maturity helps determine the length of drying process to help ripen the dates. Color evaluation is an important step in the processing and inventory control of fruits and vegetables that directly affects profitability. This paper presents an efficient color back projection and image processing technique that is designed specifically for real-time maturity evaluation of fruits. This color processing method requires very simple training procedure to obtain the frequencies of colors that appear in each maturity stage. This color statistics is used to back project colors to predefined color indexes. Fruit maturity is then evaluated by analyzing the reprojected color indexes. This method has been implemented and used for commercial production.

Citation Download Citation

Dong Zhang, Dah-Jye Lee, and Alok Desai "Color back projection for fruit maturity evaluation", Proc. SPIE 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 90250Y (3 February 2014); https://doi.org/10.1117/12.2045374

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