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Research Journal of Pharmacy and Technology
Year : 2016, Volume : 9, Issue : 12
First page : ( 2359) Last page : ( 2361)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2016.00471.6

C T image for lung cancer identification

Pandian R.*, Dr. Kumari Lalitha

Department of Electronics and Instrumentation, Sathyabama University, Chennai-600 119, Tamil nadu, India

*Corresponding Author E-mail: rpandianme@rediffmail.com

Online published on 2 March, 2017.

Abstract

In this paper, the characterization of Computer Aided Tomography image is proposed to identify the cancer. Even though, many image processing algorithms were proposed recent years, a simple and novel methodology is proposed in this work. Manual interpretation of the CT image is overcome in this proposed work. Various features are extracted from the CT image of normal lung and malignant lung. Variations in the values are taken into account and the detection is automated.

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Keywords

CT image, features, gray level co occurrence, Lung, Classification.

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