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http://dx.doi.org/10.9708/jksci.2012.17.4.059

Dried pepper sorting using independent component analysis on RGB images  

Kwon, Ki-Hyeon (Dept. of Information & Communication Engineering, Kangwon National University)
Lim, Jung-Dae (Dept. of Herbal Medicine Resource, Kangwon National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.4, 2012 , pp. 59-65 More about this Journal
Abstract
Hot pepper can be easily faded or discolored in drying process, so we need to use the sorting technique to improve the quality for dried hot pepper. Independent Component Analysis (ICA) is one of the most widely used methods for blind source separation. In this paper we use this technique to get a concentration image of the most important component which plays a role in the dried pepper. This concentration image is different from the binary image and it reflects the characteristics of major components, so that we know the distribution and quality of the component and how to sort the dried pepper. Also, the size of the concentration image can tell the relation with capsaicinoids which make hot taste. We propose a sorting method of the dried hot pepper that is faded or discolored and lacked a major component likes capsaicin in drying process using ICA concentration image.
Keywords
Independent Component Analysis; dried pepper; concentration image;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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