Sperm Count Analysis Using Microscopic Image Processing

Hyun Mo Yang, Dong Woo Lim, Yong Sik Choi, In Hwan Kim, Ailing Lin, Jin Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationFrontier Computing - Theory, Technologies and Applications FC 2018
EditorsJason C. Hung, Lin Hui, Neil Y. Yen
PublisherSpringer Verlag
Pages484-489
Number of pages6
ISBN (Print)9789811336478
DOIs
StatePublished - 2019
Event6th International Conference on Frontier Computing, FC 2018 - Kuala Lumpur, Malaysia
Duration: 3 Jul 20186 Jul 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume542
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Frontier Computing, FC 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period3/07/186/07/18

Keywords

  • Image processing
  • Microscopic image
  • Sperm count

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