Refinement of Sobel Operator-edge Detection
Sun Ke · Journal of Shenyang Normal University · 2010
Edge detection is a fundamental and important issue in digital image processing. Sobel operator is one of the methods commonly used in edge detection.This paper starts with analysis and comparison between Sobel operator and several other commonly used edge detection methods,contributing to a more in-depth study on classical Sobel operator.Sobel operator's advantage is its faster detection rate,with unique function to smooth and restrain noise to certain extent.Although the edge effect is great,there are still some problems;some false edges are detected,which makes edges rougher and reduces accuracy of location detection.Researchers proposed some improved methods to solve the problems of Sobel operator,such as: detection template expansion,edge tracking,etc,.Based on the analysis of these methods,the paper presents a new and simple Sobel operator enhancement.This approach realizes edge refinement based on classic Sobel edge detection algorithm.Experimental results show that the method effectively solves the problem of rough edges in Sobel operator,achieves finer and precise positioning.