Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Dried pepper sorting using independent component analysis on RGB images

RGB영상의 독립성분분석을 이용한 건고추영상 분류

  • Kwon, Ki-Hyeon (Dept. of Information & Communication Engineering, Kangwon National University) ;
  • Lim, Jung-Dae (Dept. of Herbal Medicine Resource, Kangwon National University)
  • 권기현 (강원대학교 전자정보통신공학부) ;
  • 임정대 (강원대학교 생약자원개발학과)
  • Received : 2011.09.27
  • Accepted : 2011.11.26
  • Published : 2012.04.30
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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.

고추는 건조과정에서 부패되거나 색이변하는 경우가 발생하므로 건고추 품질을 높이기위해서는 건고추를 선별 할 수 있는 기법이 필요하다. 독립성분분석은 블라인드소스분리에서 가장 널리 사용되는 방법으로 이 기법을 사용하여 건조시킨 고추 영상에서 가장 중요한 성분에 대한 농축영상을 얻는다. 취득한 농축영상은 일반 이진(BW) 영상과 달리 주요 성분만 반영한 것으로 영상의 주요 성분 분포 상태를 알 수 있으며 품질을 판단하여 선별하는 것이 가능하다. 또한, 추출된 농축영상의 크기는 고추의 매운 맛을 내는 주요 성분인 캡사이신류의 양과 관련성이 있음을 알 수 있다. ICA 독립성분을 기반으로 한 농축영상 추출을 통해 고추 건조과정에서 부패되어 색상이 좋지 않거나 캡사이신류과 같은 주요 성분이 없게 된 고추를 선별해하는 방법을 제안한다.

Keywords

References

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