Call For Paper Volume:4 Issue:10 Oct'2017 |

Detection of Leukemia in Human blood sample through Image Processing

Publication Date : 01/11/2015



Author(s) :

Rege M.V , Dr. B.W. Gawli .


Volume/Issue :
Volume 2
,
Issue 10
(11 - 2015)



Abstract :

Leukemia is a blood disease, in which abnormal white blood cells (WBC) are increases in a large scale very fast, due to which WBCs could not perform its functions properly, so it needs quick detection. Blood slides are examined manually by the hematologist under microscope. This manual examination method has some drawbacks, it is time consuming and costly. Result may be affected by the factors such as hematologist experience and tiredness. The automation process overcome the above problems, images are cheap and do not require expensive testing and lab equipment.  It needs automation to detect leukemia, which will gives standard result with minimum cost. For the automation process images are the inputs and for processing the images we need images processing techniques like image enhancement, image segmentation, Feature extraction and Classification etc. This paper study about the leukemia and reviews the image processing techniques used to detect leukemia. 


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Detection of Leukemia in Human blood sample through Image Processing

October 30, 2015