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The analysis of human sperm as part of infertility investigations or assisted conception treatments is a labor intensive process reliant upon the skill of the observer and as such prone to human error. Therefore, there is a need to develop automated systems that can adequately assess the concentration, motility and morphology of live sperm. This paper presents an algorithm for analyzing the morphology of motile sperm. Techniques for eliminating the background, segmentation of the cells anddoi:10.1109/sdf.2015.7347714 dblp:conf/sdf/RaemdonckuGMHP15 fatcat:4reicrwsnzglnel3ypvjr7qqpi