Author : Churchill Kapoor 1
Date of Publication :7th April 2016
Abstract: In this paper, we describe a preliminary work for developing & detection of leukemia using microscopic blood sample smear images. The detection is done automatically by using our tool. This automatic detection not only reduces the time also diagnosed which help to doctors. Due to high defenselessness in human error and large time consumption, better and more effective image processing software is needed. In this paper, we propose a a solution to automatic detection, this paper proposed an image processing technique for counting the number of blood cells by using color and morphological features. The number of counted blood cells will then be used to calculate the ratio of blood cells for leukemia detection. In addition to, we introduce an interface for laboratory work to detect leukemia. The whole work has been developed into MatLab environment.
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