imaging creates use of the technology to non- invasively make known the interior structure of the human body. By way of medical imaging modalities patient's life be able to be improved throughout an accurate and rapid remedial without any side effects. The most important reason of this paper is to increased methodology that may accurately classify a tumor growth from abnormal tissues. This examination work has distinguished region growing segmentation Technique and implement and reflect. From our validation test comes about, this examination work uncovered that this model neglects to create useful groups order force effect poor tumor characterization precision. The images used for tumor segmentation are obtained from MRI modality. During this research, we've developed an image segmentation technique based on catchments basins and ridge lines to segment the brain image accurately. This technique relies on interest techniques for extracting tumor portion of the images in the watershed segmentation. Direct application of watershed leads to over-segmentation because of the presence of noise and different irregularities accepted in digital images. Thus to avoid this, we've carried out some preprocessing to eliminate noise present within the MRI images through acquisition stage. Then mask the watershed segmentation. After preprocessing step, we have a tendency to calculate the morphological operation of the input images. This exists one of the real issues to predict the tumor design and to address this issue; the masked watershed Segmentation Technique is proposed and resolute overall Sensitivity, Specificity, and Accuracy. Meningiomas represent 36.4% of all primary brain tumors, creating them the foremost common primary brain tumor. There'll be an estimated 24,880 new cases in 2016.Gliomas, a broad expression which includes all tumors take place from the supportive tissue of the brain, correspond to 27% of the entire brain tumors and 80% of the entire malignant tumors. Glioblastomas represent 15.1% of the entire primary brain tumors and 55.1% of the entire gliomas. Glioblastoma has the maximum number of cases of all malignant tumors, with an estimated 12,120 original cases predicted in 2016. Astrocytomas, as well as glioblastoma, represent just about 75% of all gliomas. Nerve sheath tumors/acoustic neuromas characterize about 8% of all primary brain tumors. Pituitary tumors correspond to 15.5% of the entire primary brain tumors. There resolve to be an estimated 11,700 new cases of pituitary tumors in 2016. Lymphomas stand for 2% of all primary brain tumors. Oligodendrogliomas stand for nearly 2% of all primary brain tumors. Medulloblastomas/primitive tumors represent 1% of all primary brain tumors. The greater part of primary tumors (36.4%) is placed within the meninges. Possible usage for brain tumors differs fairly a bit stand on the size and position of the tumor in the brain, at the same time as the person's overall health and risk factors. Usually, on the other hand, the initial step is the removal of the tumor, generally through some type of surgical procedure. After that, chemotherapy, radiation therapy or a mixture of the two treatments is placed to eradicate cancer from neighboring tissue and hopefully prevent its repetition.