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Leukemia Detection using Digital Image Processing Techniques

Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar. Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Himali P. Vaghela, Hardik Modi, Manoj Pandya, M.B. Potdar
10.5120/ijais2015451461
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  1. Himali P Vaghela, Hardik Modi, Manoj Pandya and M B Potdar. Article: Leukemia Detection using Digital Image Processing Techniques. International Journal of Applied Information Systems 10(1):43-51, November 2015. BibTeX

    @article{key:article,
    	author = "Himali P. Vaghela and Hardik Modi and Manoj Pandya and M.B. Potdar",
    	title = "Article: Leukemia Detection using Digital Image Processing Techniques",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 10,
    	number = 1,
    	pages = "43-51",
    	month = "November",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"
    }
    

Abstract

This paper discusses about methods for detection of leukemia. Various image processing techniques are used for identification of red blood cell and immature white cells. Different disease like anemia, leukemia, malaria, deficiency of vitamin B12, etc. can be diagnosed accordingly. Objective is to detect the leukemia affected cells and count it. According to detection of immature blast cells, leukemia can be identified and also define that either it is chronic or acute. To detect immature cells, number of methods are used like histogram equalization, linear contrast stretching, some morphological techniques like area opening, area closing, erosion, dilation. Watershed transform, K means, histogram equalization & linear contrast stretching, and shape based features are accurate 72.2%, 72%, 73.7 % and 97.8% respectively.

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Keywords

Blood disease detection, leukemia detection, k means clustering, watershed transform, histogram equalizing, and shape based features, count number of red and white cells