지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.9 No.5
- 발행연도
- 2020.10
- 수록면
- 382 - 390 (9page)
- DOI
- 10.5573/IEIESPC.2020.9.5.382
이용수
초록· 키워드
오류제보하기
This paper deals with the implementation of an image processing algorithm for an automated semen analyzer. The analysis of semen is the most important diagnostic tool in the initial investigation of male fertility. Semen analysis is best performed in a specialized laboratory with extensive experience in using the approved methods of the World Health Organization. Semen analysis in a specialized laboratory is labor-intensive, expensive, and time-consuming, and the accuracy depends on staff experience only. So, the use of image processing technology becomes very necessary in order to overcome these disadvantages. In this study, to improve the procedures involved in motion detection and prediction algorithms, we study Kalman filter-based object motion prediction. Furthermore, to improve accuracy and quality in the rate of object detection, the visual background extractor (ViBe) is employed. The experimental results of the proposed technique are evaluated and validated for performance and quality analysis from video data based on visual experiments. The experimental result achieved low root mean square error (RMSE) and relative root mean square error (RMSE%) values, demonstrating the effectiveness of the proposed technique for detecting and tracking sperm. The combination of two image processing approaches is proven to be effective in analyzing sperm condition.
목차
Abstract
1. Introduction
2. Materials
3. Methods
4. Results
5. Discussion
6. Conclusion
References
참고문헌 (30)
참고문헌 신청
Piccardi, M / 2004 / Background subtraction techniques: a review / ‘International Conference on Systems, Man and Cybernetics’ 2004 IEEE International Conference on Systems, Man and Cybernetics :3099~3104
Mahoor, E / 2015 / An improved motion detection algorithm using ViBe / ‘2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT)’ 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT) :1~5
Surendar, E / 2016 / Animal tracking using background subtraction on multi threshold segmentation / ‘2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)’ 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) :1~6
Wakimoto, Y / 2018 / Application of computer-aided sperm analysis (CASA) for detecting sperm-immobilizing antibody / American Journal of Reproductive Immunology 79(3):e12814
Susrama, I. G. / 2016 / Automated Analysis of Human Sperm Number and Concentration (Oligospermia) Using Otsu Threshold Method and Labelling / IOP Conference Series: Materials Science and Engineering 105:012038
Mahoor, E / 2015 / An improved motion detection algorithm using ViBe / ‘2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT)’ 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT) :1~5
Surendar, E / 2016 / Animal tracking using background subtraction on multi threshold segmentation / ‘2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)’ 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) :1~6
Wakimoto, Y / 2018 / Application of computer-aided sperm analysis (CASA) for detecting sperm-immobilizing antibody / American Journal of Reproductive Immunology 79(3):e12814
Susrama, I. G. / 2016 / Automated Analysis of Human Sperm Number and Concentration (Oligospermia) Using Otsu Threshold Method and Labelling / IOP Conference Series: Materials Science and Engineering 105:012038
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