CONVEX HULL BASED WBC COMPUTATION FOR LEUKAEMIA DETECTION

Detection of leukaemia in a patient is done by determining the abnormal white blood cell (WBC) count and calculating the blood cell ratio. Traditional method of finding the blood count of a suspected leukaemia patient employs manual counting of the cells using a microscope, which is prone to errors, is time consuming and stressful to the medical technicians. Image processing techniques can make this process more reliable and efficient. In this paper, image enhancement techniques have been applied on the blood sample image to obtain a better image for Blood Cell Ratio calculations. Convex hull of blood cells is computed to determine the number of cells in an image. Results show that the technique is able to give better results for counting number of WBC and computing Blood Cell Ratio.

[1]  Ma Yi-de,et al.  A new method for blood cell image segmentation and counting based on PCNN and autowave , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[2]  Dipti Patra,et al.  Fuzzy Based Blood Image Segmentation for Automated Leukemia Detection , 2011, 2011 International Conference on Devices and Communications (ICDeCom).

[3]  H. Rosline,et al.  Blood Cell Image Segmentation: A Review , 2008 .

[4]  Kenong Wu,et al.  Live cell image segmentation , 1995, IEEE Transactions on Biomedical Engineering.

[5]  Nazahah Mustafa,et al.  Application of thresholding technique in determining ratio of blood cells for Leukemia detection , 2009 .