Simulation Study of a New Algorithm NDA Based on Fuzzy Mathematical Morphology for White Blood Cell Detection

White blood cell detection is one of the most basic and key steps in the automatic recognition system of white blood cells in microscopic blood images, whose accuracy and stability greatly affect the operating speed and recognition accuracy of the whole system. Cell segmentation is still an active area of research due to the complexity of the images. It is focused on the approach of white blood cell detection. Based on the detailed analysis for current approaches, a new algorithm NDA based on fuzzy mathematical morphology is proposed for white blood cell detection. Experimental results here demonstrate the very superiority of this new algorithm.