Comprison of canny and sobel edge detection in MRI images

Zolqernine Othman, Habibollah Haron, Mohammed Rafiq Abdul Kadir · 2009

Feature extraction approach in medical magnetic resonance imaging (MRI) is very important in order to perform diagnostic image analysis [1]. Edge detection is one of the way to extract more information from magnetic resonance images. Edge detection reduces the amount of data and filters out useless information, while protecting the important structural properties in an image [2]. In this paper, we compare Sobel and Canny edge detection method. In order to compare between them, one slice of MRI image tested with both method. Both method of the edge detection operators are implemented with convolution masks. Sobel method with 3x3 masks while canny used adjustable mask. Those masks will determine the quality of the edge. Edges areas represent a strong intensity contrast which is darker or brighter. Keyword: MRI, Edge detection, Canny method

Read the paper · More papers on PaperTik