Citrus Fruit Classification
Keywords:RGB color space, Raspberry pi kit, Citrus filter, Thresholding, Mean filter, Pixel classification counter
Usually in the citrus industries, fruit grading is performed by humans through visual inspection. Manual inspection implies several problems in maintaining grading consistency and sorting uniformity. Citrus classification is normally achieved based on external visible criteria, such as size, shape and color. This problem has been addressed using computer vision algorithms, but an automatic grading machine based on computer vision usually requires large computational resources in order to perform the classification due to the complexity of the computer vision operators. This paper describes an embedded color-based citrus selection system implemented on a raspberry pi device.
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Copyright (c) 2020 Sonia Stanley Louis, D. S. Hemalatha, S. Meghana, J. S. Saraswathi, G. R. Sunil Kumar
This work is licensed under a Creative Commons Attribution 4.0 International License.