Identification of lung cancer cell using watershed segmentation on CT images

Abstract

The detection of lung cancer through image processing is an important tool for diagnoses. Different methods were employed to detect the cancerous cell of a lung with image pre processing such as Gabor filter, image segmentation using watershed segmentation and feature extraction by using MATLAB. In this experiment, various Computed Tomography (CT) images of lung were used as input image and obtained the output image in JPEG format. The resultant output of this technique was evaluated. Based on the results, it shows that watershed segmentation technique is showed better results than other segmentation techniques for lung cancer cell identification.