A Comprehensive Analysis of Image Edge Detection Techniques
Mohd Aquib Ansari, Diksha Kurchaniya, Manish Dixit · International Journal of Multimedia and Ubiquitous Engineering · 2017
One of the important objectives of image processing is to interpret the content of image efficiently and finds the meaningful and significant information from it.The much awareness has been received from various researchers in the field of image interpretation.One of the most severe step in image interpretation is to mine the edges information from the image appropriately.Edges are the fundamental features of the image and can be formed from the outlines of the object.Edge detection is generally used in image analysis and processing.There are several types of algorithm to detect the edges.In this paper, the comprehensive analysis is done on the several edge detection techniques such as Prewitt, Sobel, Canny, Roberts and Laplacian of Gaussian.It is experimentally observed that Canny edge detector is working well than others.This work is implemented on Matlab R2015a.