Local Binary Pattern for automatic detection of Acute Lymphoblastic Leukemia

Author

Singhal, Vipul ; Singh, Prashant

Author_Institution

Dept. of Comput. Sci. & Eng., LNM Inst. of Inf. Technol., Jaipur, India

fYear

2014

fDate

Feb. 28 2014-March 2 2014

Firstpage

1

Lastpage

5

Abstract

Acute Lymphoblastic Leukemia (ALL) is caused due to increase in number of abnormal lymphocyte cells in blood or bone marrow. This paper presents a methodology for automatic detection of the abnormal lymphocytes in a given image of the blood sample. We have used Local Binary Pattern (LBP) features for classifying the lymphocyte cell as blast or normal. LBP texture features of blood nucleus are investigated for the detection of ALL. We have also used shape features for classification and a comparative analysis of both the features is performed. It is seen that the LBP features provide reasonably good accuracy in classification.

Keywords

blood; cancer; feature extraction; image classification; image denoising; image segmentation; image texture; medical image processing; ALL; LBP features; abnormal lymphocyte cells; acute lymphoblastic leukemia; automatic detection; blood nucleus; local binary pattern; shape features; Accuracy; Feature extraction; Image segmentation; Shape; Support vector machines; White blood cells;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (NCC), 2014 Twentieth National Conference on

Conference_Location

Kanpur

Type

conf

DOI

10.1109/NCC.2014.6811261

Filename

6811261