LEUKEMIA BLOOD CANCER DETECTION USING IMAGE PROCESSING IN MATLAB
Agnivesh Pandey
Assistant Professor Department of Information Technology School of Studies – Engineering and Technology Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh , IN
Keywords: Image filtering, binary detection, Hole filled process
Abstract
The microscopic images of blood cells are observed to find out many diseases.Changes in the blood shows the development of diseases in an individual.Leukemia is cancer of blood forming tissues, hindering the body’s ability to fight infection. Leukemia can lead to death if it is left untreated. Based on some statistics it is found that the leukemia is the fifth cause of death in men and sixth cause of death in women.
In this work, automated approach of leukemia detection is proposed. In a manual method of Leukemia detection, experts check the microscopic images. This is lengthy and time taking process which depends on the person’s skill and not having a standard accuracy.The automatedLeukemia detection system analyses the microscopic image and overcomes these drawbacks. It extracts the required parts of the images and applies some filtering techniques.
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