Fuzzy rule based classification of human spermatozoa

Infertility is one of the major problems in human being. Sperm morphology is one of the evaluation techniques for male infertility. The aim of this paper is to perform sperm segmentation using image processing techniques and classification of sperm heads. The proposed system works on the digital images of sperm. The single Spermatozoa segmented into three parts Sperm Head, Sperm Mid Piece, and Sperm Tail. These images are processed and the sperm are segmented. The Features are extracted from segmented Images. The proposed method accurately segment sperm cells. The Fuzzy System used to classify the Sperm Head into normal and abnormal class using shape and area of sperm head.