Computer analysis of images usually starts with segmentation, which reduce pixel data information about the objects and their structures which are present in the system. The recognition of acute leukemia blood cell based on color image is one of the most challenging tasks in image processing. Also, the conventional method of manual counting using a microscope is a timeconsuming, produces errors and put an intolerable amount of stress to technicians. As a solution to this problem, this paper proposed an image processing technique for color segmentation of acute leukemia images using HSI and RGB color spaces and the evaluation of color spaces is carried out using a segmentation algorithm. And to count the number of blasts with their size which are present in the image of leukemia. The technique segments each leukemia mage into two regions; blast and the background. The blast contains white blood cells. The experimental result shows that the proposed system has provided recognition of acute leukemia blasts and to counting blast.

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Image segmentation acute leukemia RGB HSI Blast