DocumentCode :
137032
Title :
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
Link To Document :
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