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RISS 인기검색어
- 검색키워드
- 저자 : 정석훈 ( Seokhoon Jeong ) (검색결과 11 건)
- 무료
- 기관 내 무료
- 유료
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정석훈 ( Seokhoon Jeong ),고국원 ( Kuk Won Ko ),이지연 ( Ji-yeon Lee ),이진호 ( Jinho Lee ),서현석 ( Hyeonseok Seo ),이상준 ( Sangjoon Lee ) 한국정보처리학회 2016 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.5 No.7
This study is to estimate proximity without direct measurement of the weight of fresh ginseng. For this work, we developed a ginseng image acquiring instrument and obtained 126 ginseng images using the instrument. Image analysis and parameter extraction process was used C language based Labwindows/CVI development tools and open source library OpenCV. Estimation formula is made by weighing the sample with image analysis of fresh ginseng. We analyzed the correlation between the pixel number and the weight of ginseng using a linear regression approach. It was obtained a strong positive correlation coefficient of 0.9162 with a linearity value
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정석훈 ( Seokhoon Jeong ),고국원 ( Kuk Won Ko ),강제용 ( Je-yong Kang ),장수원 ( Suwon Jang ),이상준 ( Sangjoon Lee ) 한국정보처리학회 2016 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.5 No.7
This study is a leading research project to develop an automatic grade decision making algorithm of a 6-years-old fresh ginseng. For this work, we developed a Ginseng image acquiring instrument which can take 4-direction’s images of a Ginseng at the same time and obtained 245 jingen images using the instrument. The 12 parameters were extracted for each image by a manual way. Lastly, 4 parameters were selected depending on a Ginseng grade classification criteria of KGC Ginseng research institute and a survey result which a distribution of averaging 12 parameters. A pattern recognition classifier was used as a support vector machine, designed to “k-class classifier” using the OpenCV library which is a open-source platform. We had been surveyed the algorithm performance(Correct Matching Ratio, False Acceptance Ratio, False Reject Ratio) when the training data number was controlled 10 to 20. The result of the correct matching ratio is 94% of the 1st ginseng grade, 98% of the 2nd ginseng grade, 90% of the 3rd ginseng grade, overall, showed high recognition performance with all grades when the number of training data are 10
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