Improving sperms detection and counting using single Gaussian background subtraction

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

4 Citations (Scopus)

Abstract

Research about determining infertility rate of sperm is still being under constant development. First important phase on the sperm infertility observation is detection of sperm object. Success rate of separate sperm with semen fluids has important role for further analytical measure. This research is on its ways to detect and count human's spermatozoa. Detected sperms are moving sperm that is moving on the video. To detect moving sperm, Single Gaussian background subtraction is used. This method fits for sperm detection because the sperm data used are tends to be in unimodal. This research also uses other methods of background subtraction as comparison. The examination result shows that Single Gaussian method has fmeasure value 0.853 and successfully extracts the sperm shape fully better than other methods.

Original languageEnglish
Title of host publicationProceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages295-299
Number of pages5
ISBN (Electronic)9781509023264
DOIs
Publication statusPublished - 7 Mar 2017
Event2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016 - Semarang, Indonesia
Duration: 5 Aug 20166 Aug 2016

Publication series

NameProceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016

Conference

Conference2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016
Country/TerritoryIndonesia
CitySemarang
Period5/08/166/08/16

Keywords

  • Male fertility test
  • Moving object detection
  • Moving sperm detection

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