Segmentation of White Blood Cells Using Fuzzy C Means Segmentation Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
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.
Authors and Affiliations
Pronab Kumar Mondal , Uzzal Kumar Prodhan , Md. Selim Al Mamun , Md. Abdur Rahim , Kazi Kamal Hossain
Keywords
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- EP ID EP157839
- DOI 10.9790/0661-16390105
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