Publication: Apple Sweetness Measurement by image processing technique
Issued Date
2016-07-22
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2-s2.0-84991770095
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 2016 5th ICT International Student Project Conference, ICT-ISPC 2016. (2016), 182-185
Suggested Citation
Teerach Ittatirut, Akkarote Lekhalawan, Watcharapong Tangjitwattanakorn, Chomtip Pornpanomchai Apple Sweetness Measurement by image processing technique. Proceedings of the 2016 5th ICT International Student Project Conference, ICT-ISPC 2016. (2016), 182-185. doi:10.1109/ICT-ISPC.2016.7519266 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/43471
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Title
Apple Sweetness Measurement by image processing technique
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Abstract
© 2016 IEEE. This research paper developed a system which allows users to determine the sweetness level of apples by using an image of the flesh part of the apple. The system, developed based with MATLAB, consists of four main modules, namely - 1) Image Acquisition, 2) Image Preprocessing, 3) Sweetness Determination, and 4) Result Determination. Two color spaces are utilized as the judging criteria of this paper, which are RGB and HSV color spaces. An Artificial Neural Network (ANN) is used as the main technique of sweetness determination. The average result of this implementation is a sweetness level of 79.03%.