CANNY EDGE DETECTION: A COMPREHENSIVE REVIEW
Himangi Agrawal, Krish Desai
Abstract
Canny edge detection is a widely employed technique in image processing known for its effectiveness in identifying and highlighting edges within digital images. Because of its excellent performance, the Canny Edge Detector is one of the most used edge detection algorithms. For several image processing techniques, including image enhancement, image segmentation, tracking, and image/video coding, edge detection serves as a preliminary step. Compared to the Sobel algorithm, Canny's edge detection approach yields much lower memory requirements, reduced latency, and enhanced throughput without sacrificing edge detection performance. This paper provides a comprehensive review of canny edge algorithm, elucidating each step. In this paper, the canny edge algorithm is implemented on an image as well as in real time using MATLAB and its Simulink model. We have also performed high level synthesis of the proposed algorithm using HDL coder.