Edge Detection in MRI of Head Scans Using Fuzzy Logic

In this paper we propose a method for Edge Detection in MRI of human head scans. Edge detection is one of the pre-segmentation processes of MRI head scans. MRI head scans are used to visualize the internal structure of human head in 3-Dimension. The brain segmentation from MRI head scan is a major work in head scan analysis. In the proposed method we make use of 32 fuzzy logic for edge detection. It is less in computational complexity in searching for edges when compared to Sobel and Canny edge detectors. Application of the proposed method on several MRI scans show that it produces sharp and clear edges that can be used for segmenting brain portions in MRI of human head scans.