Ascertainment of Lung Cancer at An Early Stage

Abstract

Lung cancer is a disease of abnormal cells multiplying and growing into a tumour. Recently, image-processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, where the time factor is very important to discover the abnormality issues in target images, especially in various cancer tumours such as lung cancer, breast cancer, etc. The proposed system is designed to detect lung cancer in premature stage in two stages. The proposed system consists of many steps such as image acquisition, pre-processing, binarization, thresholding, marker controlled watershed segmentation. At first Input lung CT, X-Ray images are taken and then passed through the image pre-processing stage by using some image processing techniques. In first stage, Binarization technique is used to convert binary image and then compare it with threshold value to detect lung cancer. In second stage, marker controlled watershed segmentation is performed to segment the lung CT images. The performance of proposed system shows satisfactory results and proposed method gives 97% accuracy.