Brain Tumor And lung cancer Detection Using Segmentation & Morphological Operators

Abstract

Medical Image processing is a fast growing and demanding field. In recent years the image process mechanism are used widely in several medical areas for improving earlier detection and treatment stages, in which time factor is very important to detect the disease in the patient as possible as fast especially in various tumors such as lung cancer, brain tumor. So the Early detection of tumor is a challenging task as symptoms appear in the advanced stages of tumor. Brain tumor and lung cancer is a serious life-threatening diseases. Tumor detection helps to find the location and size of tumor. Brain tumor and lung cancer detection mainly involves four stages namely Image pre-processing, Image segmentation, optimization and feature extraction. In this paper we proposed an efficient method for tumor detection based on segmentation and morphological operators. Segmentation method is used to separate the tumor area from background and then morphological operators are applied to detect the tumor in the Magnetic resonance imaging (MRI) and cancer cell in computerized tomography (CT) scan.