Abstract—Blood cell segmentation and identification is a vital in the study of blood as a health indicator. A complete blood count is used to determine the state of a person¡¯s health based on the contents of the blood in particular the white blood cells and the red blood cells. The main problem arises when massive amounts of blood samples are required to be processed by the hematologist or Medical Laboratory Technicians. The time and skill required for the task limits the speed and accuracy with which the blood sample can be processed. This project aims to provide user- friendly software based on MATLAB allowing for quick user interaction with a simple tool for the segmentation and identification of red and white blood cells from a provided image. In order to perform the segmentation, this project used color based segmentation using International Commission on Illumination L*a*b* (CIELAB) color space. The completed project is able to obtain quick and accurate blood cell segmentation of both red and white blood cells. The accuracy of this project ranges from 64% to 87% depending on the type of processing used and the type of cells being extracted.

Index Terms—MATLAB, Segmentation, Identification, Red and white blood cells, CIELAB color space

Cite: Nasrul Humaimi Mahmood, Poon Che Lim, Siti Madihah Mazalan, and Mohd Azhar Abdul Razak, "Blood Cells Extraction Using Color Based Segmentation Technique," International Journal of Life Sciences Biotechnology and Pharma Research, Vol. 2, No. 2, pp. 233-240, April 2013.