Digital Image Processing

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Leukemia Detection using Image Processing


Affiliations
1 Department of ECE, SNS College of Engineering, Coimbatore, India
     

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Leukemia is a type of cancer which causes death among human. Only its detection and diagnosis helps to increase its cure rate. Presently, identification of cancer cells or blood disorders is by inspecting the microscopic images visually. This is done by analyzing the variations in texture, geometry, colour and statistical analysis of images. This paper describes various feature extraction techniques that can be used to detect leukemia using microscopic blood sample images. Image analysis plays an important in this method. Here first the cell biology basics are discussed and then the implementation of our proposed technique is carried out. Since our aim is to provide the cheapest method, only images are used. The tool we have used for the detection of cancer cells is MATLAB.

Keywords

Leukemia, Blood Cells, Edge Detection, GLCM, Gabor, Wavelet, MATLAB.
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  • Leukemia Detection using Image Processing

Abstract Views: 365  |  PDF Views: 3

Authors

V. Venmathi
Department of ECE, SNS College of Engineering, Coimbatore, India
K. N. Shobana
Department of ECE, SNS College of Engineering, Coimbatore, India
Akshaya Kumar
Department of ECE, SNS College of Engineering, Coimbatore, India
D. Gajeshwaran
Department of ECE, SNS College of Engineering, Coimbatore, India

Abstract


Leukemia is a type of cancer which causes death among human. Only its detection and diagnosis helps to increase its cure rate. Presently, identification of cancer cells or blood disorders is by inspecting the microscopic images visually. This is done by analyzing the variations in texture, geometry, colour and statistical analysis of images. This paper describes various feature extraction techniques that can be used to detect leukemia using microscopic blood sample images. Image analysis plays an important in this method. Here first the cell biology basics are discussed and then the implementation of our proposed technique is carried out. Since our aim is to provide the cheapest method, only images are used. The tool we have used for the detection of cancer cells is MATLAB.

Keywords


Leukemia, Blood Cells, Edge Detection, GLCM, Gabor, Wavelet, MATLAB.

References