Title: Image-based human sperm counting method

Authors: Hyun-Mo Yang; Dong-Woo Lim; Yong-Sik Choi; Jin-Gu Kang; In-Hwan Kim; Ailing Lin; Jin-Woo Jung

Addresses: Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea ' Department of Computer Science and Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, South Korea

Abstract: Modern people have a great interest in health, but most people are less interested in their sperm health than other body conditions. In this paper, we propose a method to measure the average number of sperms through a sperm image sequence captured by a Smartphone with a small microscope lens so that the image acquisition could be easily performed. In order to distinguish between noise and sperm in the photographed sperm image, sperms are searched by using difference image based on the assumption that sperms are always moving. In addition, the number of detected sperms is measured and tested based on the WHO criteria. Experimental results show the effectiveness of the proposed method.

Keywords: sperm count; sperm grade; sperm health; sperm image; microscope image; image processing; difference image; image subtraction; image labelling; human health.

DOI: 10.1504/IJSHC.2019.101598

International Journal of Social and Humanistic Computing, 2019 Vol.3 No.2, pp.148 - 157

Available online: 06 Aug 2019 *

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