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Sperm Count Analysis Using Microscopic Image Processing
- Authors
- Yang, H.-M.; Lim, D.-W.; Choi, Y.-S.; Kim, I.-H.; Lin, A.; Jung, J.-W.
- Issue Date
- 2019
- Publisher
- Springer Verlag
- Keywords
- Image processing; Microscopic image; Sperm count
- Citation
- Lecture Notes in Electrical Engineering, v.542, pp 484 - 489
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 542
- Start Page
- 484
- End Page
- 489
- ISSN
- 1876-1100
1876-1119
- Abstract
- In this paper, we suggest an automated method for counting sperms using sequential microscopic image captured from the smartphone and additional microscopic lens. First, ROI image is created and then converts to the binary image. Using the previous frame, this binary image creates the subtraction image. After labeling of the subtraction image, counting the number of sperms is possible by the characteristics of microscopic image. Experimental results show that the results from the proposed algorithm is meaningful in the criteria from WHO standards. © 2019, Springer Nature Singapore Pte Ltd.
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Related Researcher
- Jung, Jin Woo
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)