This topic concerned lung analysis and the detection of tumors or cancer. Its general object is to discuss noise removal, binary image, inverted image, segmentation, and circles segmented. The selected image can undergo some filtrations and processing of image segmentation. The results of the study and image can be processed and segmented. Lung cancer is one of the deadliest diseases which cause high death rates throughout the world. Lung cancer is an irregular growth of cells that can be characteristically derived from a single irregular cell which may spread to whole part of the lung. CT scan is one of the sensitive methods used in the medical field for treating the patients as compared to MRI and X-rays. Diagnosis of cancer from the computed tomography (CT) images of lung is very challenging for doctors. Computer aided diagnosis (CAD) is another tool for detection that uses computer-generated output as an assisting tool for a clinician to form a diagnosis. The biomedical image processing has better ability to detect lung diseases as it helps