Detection of Brain Tumors Using ROF Filter with Feature Extraction and Classification

Brain tumor detection is a challenging task in the field of medicine. Due to its complexity and diversity, each Brain tumor develops in various forms. It is determined by the distribution of tumor cells in the brain, which causes the problems, as well as its size and structure. This research study proposes a novel method for detecting brain tumors from MRI images, which is then compared to the healthy brain images to provide precise recommendations. In this work, the ROF filter is used to provide the best results when compared to other filters, and further the ROF filter is efficient in providing suggestions, after which the NGTDM feature is used and the results are determined by using SVM classification.