Sobel-Freichen Hybrid Filters to Improve Edge Detection Performance

Abstract

Edge detection is one of the most critical tasks in the image processing, computer vision and pattern recognition. Edge is a line between two corners or surface which also significant transitions in an image. It also can be defined as an abrupt change in intensity of pixels and discontinuity in image brightness. This research paper provides visual analysis of edge detection using Sobel and Freichen operator. Furthermore, a new hybrid technique proposed which is the combination of Sobel and Freichen filters to overcome some drawbacks of the classical operator. Based on the frequency distribution, the proposed hybrid method is producing a better edge profile than the traditional filters Sobel and Freichen.