Comparative analysis between different edge detection techniques on mammogram images using PSNR and MSE

Edge detection is an important technique of image processing and computer vision detecting points where the image properties change at a steady rate. Being operated by detection of brightness discontinuities, it further detects object boundaries within images also. It is used for image segmentation and data extraction in fields like image processing, computer vision, and machine vision. This paper is aimed at description and evaluation of comparative observation of different operators of edge detection in image processing. Pertinently, MATLAB is a development tool being used to find performance of various operators. Besides, the efficiency of the Canny edge detection operator has also been proved to be outperforming as compared to Sobel, Roberts, Prewitt, Zero crossing, and LoG (Laplacian of Gaussian) in the current analysis.

Automated summary

This paper describes the importance and application of edge detection in image processing. Through comparative observation and performance evaluation of different edge detection operators, it is found that the Canny operator has the highest efficiency.