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Rice Disease Spots Extraction Based on Machine Vision
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- 발행기관
- 보안공학연구지원센터(IJUNESST) 바로가기
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- 간행물
- International Journal of u- and e- Service, Science and Technology 바로가기
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- 통권
- Vol.8 No.3 (2015.03)바로가기
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- 페이지
- pp.211-220
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A245585
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Development of the automation system for recognizing diseases of the infected rice is a growing research field in precision agriculture. So, the first and foremost thing we should do is to extract the disease region from rice images. The objective of this paper is to propose an image segmentation method for rice disease spots based on machine vision. The algorithm consists of two main steps: image gray-level transformation and disease region segmentation. Firstly, the color image was transformed into a gray-level image by the color indices 2G-R-B, which making an important contribution for this kind of images. Secondly, the information fusion between the self-adaptation threshold which was obtained by the mean and standard variance of the grey-scale image and the green component distribution features in color image was used to form a new segmentation standard to detect disease region. To test the accuracy and robustness of the proposed algorithm, it was tested with a broad of set of images and compared with the classical approach based on other grey-level convert methods and Otsu’s method. Test result shows that the accuracy of new algorithm appears higher and it can be applied to segment rice disease spots effectively.
목차
Abstract
1. Introduction
2. Material and Methods
2.1. Image Source and Experimental Equipment
2.2. Gray-level Transformation
2.3. Rice Disease Spots Extraction based on Otsu
2.4. Rice Disease Spots Extraction based on Proposed Algorithm
2.5. Algorithm Evaluation
3. Results and Discussion
4. Conclusion
Acknowledgement
References
키워드
Rice disease spots extraction Otsu color feature mean value저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of u- and e- Service, Science and Technology
- 간기
- 격월간
- pISSN
- 2005-4246
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.3
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