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IJSTR >> Volume 9 - Issue 8, August 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Statistical Analysis Of The Features And Classification Of Coffee Beans In Three Maturation Stages

[Full Text]



Jose Alfredo Palacio-Fernández, William Orozco, Bayardo Cadavid



features, classifier, main components, coffee, wavelet, image



This article presents a statistical analysis of the features of RGB, HSV, Wavelet and the relation of coffee axes based on the root square mean value, the standard deviation and the Wavelet approximation coefficients’ average for the images obtained from three types of coffee beans with different maturation states. By means of a statistical analysis, the relations between the features were obtained and, three main components were selected. These were subjected to a Bayesian classifier, which allowed to determine a full classification of the three types of grains, using the two main components and, two other combinations of the features, mainly color in the second Wavelet transformation filtering level.



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