No abstract

The detection and recognition of tumor have a very important role in many applications of medical imaging. The use of computer in this process required high accuracy as it relates to human life especially that the error rate should be as low as possible. In this paper, Magnetic Resonance Imaging (MRI) images are tested using image processing (segmentation-based threshold) and supervised classification (minimum distance) to detect the region of interest. The location of the tumor is located using histogram algorithm with run length features. The geometric measurements calculated to identify tumors dimensions, location, volume and area. The results were highly efficient and highly accurate to determine the location and dimensions of the tumor.