Digital Image Processing Application on Shallots Quality Determination
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Published:
Sep 30, 2019
Keywords:
Shallot, HSV image, image processing, classification
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Abstract
Shallot is a horticultural vegetable commodity that has high economic value. North Sulawesi is one of the central production of shallots which has several onion varieties developed and marketed. Technology that can help determine the quality of shallots is needed to simplify the marketing process. This study aims to simulate a system for determining the quality of shallots based on their color and size. The shallot bulb image of several different varieties is input for this system to be able to provide good and bad shallot marks.
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How to Cite
LitouwJ. I., KambeyF. D., & ManembuP. D. (2019). Digital Image Processing Application on Shallots Quality Determination. Journal of Sustainable Engineering: Proceedings Series, 1(2), 159-163. https://doi.org/10.35793/joseps.v1i2.21
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2019 Author(s)
References
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J.Blasco,N.Aleixos, J.Gomez E.Molto. Citrus sorting by identification of the most common defects using multispectral computer vision.Journal of Food Engineering Vol.83 Issue 3 December 2007 Pages 384-393.
Tinku Acharya, Ajoy Ray. image Processing Principles and Applications. a Wiley- Interscience Publication.2005
M.A.Momin,M.T.Rahman,M.S.Sultana,C.Igathinathane, A.T.M.Ziauddin, T.E.Grift. Geometry-based mass grading of mango fruits using Image processing.Information Processing in Agriculture Journal Vol.4 Issue 2, June 2017 pages 150-160.
Rafael Gonzales, Richard Woods, Steven Eddins. digital image processing. 2004. Pearson.