Comparative analysis between different edge detection techniques on mammogram images using PSNR and MSE. Issue 2 (17th February 2022)

• Record Type: Journal Article
• Authors: Saxena, Sameer; Singh, Yudhveer; Agarwal, Basant; Poonia, Ramesh Chandra
• Is Part Of: Journal of information & optimization sciences. Volume 43:Issue 2(2022)
• Page Start: 347
• Page End: 356
• Publication Date: 2022-02-17
• Subjects: 68U10; Edge detection -- Digital image processing -- Canny -- PSNR -- MSE; Electronic data processing -- Periodicals; Information science -- Periodicals; Mathematical optimization -- Periodicals; 519.6
• DOI: 10.1080/02522667.2021.2000168
• Languages: English
• ISSNs: 0252-2667

Abstract

Abstract: 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.