New hybrid approach for identification of spermatozoa in human semen sample using microscope image processing techniques


  • Nandini Mukund Chaudhari North Maharashtra University
  • Bhausaheb V. Pawar North Maharashtra University



Semen analysis, region segmentation, spermatozoa, scan line algorithm


Due to very hectic, stressful and exhaustive life style, Today, Infertility is a common problem  in most of the couples and they have to undergo for intrauterine insemination (IUI) or In-vitro fertilization (IVF). Semen analysis is fundamental test in the clinical work up of the infertile male. Computerized semen test will give many more & accurate parameters that are useful to the fertility specialist. This paper focuses on finding the numbers of spermatozoa contain in the semen sample with new hybrid approach using MATLAB. Use of background subtraction is the first stage of algorithm. Region based segmentation finds the numbers of sperm in the semen sample. The comparative analysis of segmentation shows that region base segmentation detects more objects. So it is possible to find the suppressed (low intensity) sperm in given frame.

Author Biographies

Nandini Mukund Chaudhari, North Maharashtra University

Computer Engineering Department

KCES Collgeg of Engineering & IT

Jalgaon 425001



Bhausaheb V. Pawar, North Maharashtra University


School of Computer Science

North Maharashtra University

Jalgaon 425001




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How to Cite

Chaudhari, N. M., & Pawar, B. V. (2015). New hybrid approach for identification of spermatozoa in human semen sample using microscope image processing techniques. European Journal of Applied Sciences, 2(6), 15–24.