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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 24 - 29 (6page)
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One of the main applications of digital image processing is the estimation of the number of certain types of objects (cells, seeds, peoples etc.) in an image. Difficulties of these counting problems depends on various factors including shape and size variation, degree of object clustering, contrast between object and background, object texture and its variation, and so on. In this paper, a new automatic colony counting algorithm is proposed. We focused on the two applications: counting the bacteria colonies on the agar plate and estimating the number of seeds from images captured by smartphone camera. To overcome the shape and size variations of the colonies, we adopted the distance transformation and peak detection approach. To estimate the reference size of the colony robustly, we also used k-means clustering algorithm. Experimental results show that our method works well in real world applications.
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참고문헌 (8)
참고문헌 신청
J. G. Barbedo / 2012 / A Review on Methods for Automatic Counting of Objects in Digital Images / IEEE Latin America Transactions 10(5):2112~2124
P. R. Barber / 2001 / Automated counting of mammalian cell colonies / Phys. in Medicine and Biology 46:63~76
J. M. Bewes / 2008 / Automated cell colony counting and analysis using the circular hough image transform algorithm (CHiTA) / Physics in Medicine and Biology 53:5991~6008
J. Schier / 2011 / Automated counting of yeast colonies using the fast radial transform algorithm / Proc. Int. Conf. Bioinformatics Models, Methods and Algorithms :22~27
H. Men / 2008 / Counting method of heterotrophic bacteria based on image processing / Proc. IEEE Conf. Cybernetics and Intelligent Systems :1238~1241
P. R. Barber / 2001 / Automated counting of mammalian cell colonies / Phys. in Medicine and Biology 46:63~76
J. M. Bewes / 2008 / Automated cell colony counting and analysis using the circular hough image transform algorithm (CHiTA) / Physics in Medicine and Biology 53:5991~6008
J. Schier / 2011 / Automated counting of yeast colonies using the fast radial transform algorithm / Proc. Int. Conf. Bioinformatics Models, Methods and Algorithms :22~27
H. Men / 2008 / Counting method of heterotrophic bacteria based on image processing / Proc. IEEE Conf. Cybernetics and Intelligent Systems :1238~1241
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