Computer assisted semen analysis (CASA) helps the pathologist or fertility specialist to evaluate the human semen. Detail analysis of spermatozoa like morphology and motility is very important in the process of intrauterine insemination (IUI) or In-vitro fertilization (IVF) in infertile couple. The main objective for this new semen analysis is to provide a low cost solution to the pathologist and gynecologist for the routine raw semen analysis, finding the concentration of the semen with dynamic background removal and classify the spermatozoa type (grade) according to the motility and structural abnormality as per the WHO criteria. In this paper a new system , computer assisted semen analysis system is proposed in which hybrid approach is used to identify the moving object, scan line algorithm is applied for confirmation of the objects having tails, so that we can count the actual number of spermatozoa. For removal of background initially the dynamic background generation algorithm is proposed to create a background for background subtraction stage. The standard data set is created with 40× and 100× magnification from the different raw semen s. For testing the efficiency of proposed algorithm, same frames are applied to the existing algorithm. Another module of the system is focused on finding the motility and Type classification of individual spermatozoa.

N M Chaudhari1, B V Pawar2
KCES's College of Engineering & Information Technology, India 1, North Maharashtra University, India2

Semen Analysis, CASA, Microscope Image Processing, Spermatozoa, Region Based Segmentation, Hybrid Algorithm, WHO
Published By :
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 7 , Issue: 2 )
Date of Publication :
November 2016

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.