A gynocology problem solution by tracking multi moving human sperm using wavelet based mixture of Gaussian approach

Abstract

Recently, Scientists needs to know the behavior of human sperm for proper diagnosis in Gymnocology problem. In this paper, we introduced an algorithm for tracking and detecting multi-moving human sperm using wavelet threshold in a improved version. Initially the captured images are filtered by a wavelet denoising approach. Then a combination method of mixture of Gaussian method as background subtraction with synchronized frame difference is developed with high detection rate. The simulation results demonstrate that the proposed algorithm is capable of tracking the sperm, which helps in analysis for proper diagnosis in infertility.