Image Processing used for Lung Cancer Detection in Medical Imaging

Neelima Singh* and A. Asuntha*

Abstract

This paper deals with formation of a lung cancer detection system. The system formed can take any type of medical image within the three choices consisting of CT, MRI and Ultrasound images. Here the proposed model is developed using the various techniques of image processing. The result of image processing may be either a set of features or parameters associated with the image or an image itself. The system formed accepts any one of medical image within the three choices consisting of MRI, CT and Ultrasound image as input. After preprocessing of image, Canny filter is used for Edge detection. This present work proposes a method to detect the cancerous cells effectively from the CT, MRI scan and Ultrasound images. Superpixel Segmentation has been used for segmentation and Gabor filter is used for Denoising the medical images. Simulation results are obtained for the cancer detection system using MATLAB and comparison is done between the three medical images.