Detection of the Tumor Cell in CT Images

Abstract Nowadays, lung cancer has become the common cause of death among people throughout the world. Therefore, an attempt to detect lung cancer at an early stage is required, so that it may increase the chances of survival among cancer patients. Image processing plays a major role in biomedical applications in order to detect many diseases which affects human. It detects the tumor cell in lung Computed Tomography (CT) images which affects the digestive system and the lungs. Image processing made it possible to detect, locate, provides the prestate analysis of cancer and its stages. The algorithm is proposed to identify the tumor cell edge clearly and continuously. To detect tumor we propose quad tree concept and sharpness based method and various filter technique for removing the noise. Quad tree works by splitting an inhomogeneous image into four images until the entire block is considered as high sharp block.