Segmentation of White Blood Cells Using Fuzzy C Means Segmentation Algorithm

Abstract

The objective of this paper is to develop a tool to identify the white blood cells from blood smear images through segmentation. In our research work, we have identified white blood cells from color images of blood smears. We have used Fuzzy C Means segmentation method and erosion and dilation post processing method to identify the white blood cells. In our obtained result we find that this method successfully identified 98% of white blood cells from which is a satisfactory result.