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Abstract

Lung cancer plays a major role among the people who are affected with cancer.  The major reason is the presence of nodule in a lung region. Early diagnosis of this nodule may decrease the severity also increase the life span of a patient. In this paper, a methodology is proposed to detect the lung nodule and nodule region using texture features. Various image processing techniques are used in this paper. CT images are taken as input over MRI because of its advantages over less exposure of radiation[4]. The given input image is denoised by using adaptive bilateral filter and image contrast is improved by the histogram equalization technique. Superpixel segmentation is used for the segmentation process. A Simulation process has been done using MATLAB software.

Keywords

Image processing Adaptive Bilateral Filter(ABF) superpixel segmentation SVM classifier

Article Details

How to Cite
Asuntha A, & Andy Srinivasan. (2019). Lung cancer detection using Adaptive Bilateral Filter (ABF) techniques. International Journal of Research in Pharmaceutical Sciences, 10(3), 1857-1860. https://doi.org/10.26452/ijrps.v10i3.1383