A Combination of Feature Selection and Co-occurrence Matrix Methods for Leukocyte Recognition System - Journal of Software Engineering and Applications

JSEA > Vol.5 No.12, December 2012

Journal of Software Engineering and Applications

Volume 5, Issue 12 (December 2012)

ISSN Print: 1945-3116 ISSN Online: 1945-3124

Google-based Impact Factor: 1.22 Citations h5-index & Ranking

A Combination of Feature Selection and Co-occurrence Matrix Methods for Leukocyte Recognition System ()

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Download as PDF (Size: 190KB) PP. 101-106

DOI: 10.4236/jsea.2012.512B020 3,967 Downloads 5,677 Views Citations

Author(s)

Li Na, Arlends Chris, Bagus Mulyawan

Affiliation(s)

Faculty of Information Technology, Tarumanagara University, Jakarta, Indonesia; 2Faculty of Medicine, Tarumanagara University, Jakarta, Indonesia.

ABSTRACT

A leukocyte recognition system, as part of a differential blood counter system, is very important in hematology field. In this paper, the propose system aims to automatically classify the white blood cells (leukocytes) on a given microscopic image. The classifications of leukocytes are performed based on the combination of color and texture features of the blood cell images. The developed system classifies the leukocytes in one of the five categories (neutrophils, eosinophils, basophils, lymphocytes, and monocytes). In the preprocessing stage, the system starts with converting the microscopic images from Red Green Blue (RGB) color space to Hue Saturation Value (HSV) color space. Next, the system splits the Hue and Saturation features from the Value feature. For both Hue and Saturation features, the system processes their color information using the Feature Selection method and the Window Cropping method; while the Value feature is processed by its texture information using the Co-occurrence matrix method. The final recognition stage is performed using the Euclidean distance method. The combination of the Feature Selection and Co-occurrence Matrix methods gives the best overall recognition accuracies for classifying leukocyte images.

KEYWORDS

Leukocyte recognition; White blood cell; Microscopic image; Feature selection;Co-occurrence matrix

Share and Cite:

L. Na, A. Chris and B. Mulyawan, "A Combination of Feature Selection and Co-occurrence Matrix Methods for Leukocyte Recognition System," Journal of Software Engineering and Applications, Vol. 5 No. 12B, 2012, pp. 101-106. doi: 10.4236/jsea.2012.512B020.

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