ABSTRACT

The most precious field in digital image processing is diagnosing the internal activities of human body. Brain is one of the critical part in human body. In the current era cancer is a challenging in medical field. Identification of tumor in brain is very difficult. Segmentation is a kind of method in digital image processing used to divide the image into number of parts with specific regions. It is important to notice that resolution is the key factor in identification of tumors. In this paper we proposed efficient modified K-mean clustering along with triangular model for detection of brain tumor. Modified K-mean clustering includes image enhancement for clear detection of tumor using gradient profile sharpness. Further tumor is detected using triangular model.

Keywords: - Image segmentation, K-Means clustering, MRI images, Triangle model, Tumor detection