Subject review: Image edge detection techniques
Department of computer science, University Al Mustansiriyah, Baghdad, Iraq.
Review Article
Global Journal of Engineering and Technology Advances, 2024, 19(01), 001–005.
Article DOI: 10.30574/gjeta.2024.19.1.0054
Publication history:
Received on 20 February 2024; revised on 29 March 2024; accepted on 01 April 2024
Abstract:
The effective interpretation of an image's content and the extraction of relevant information from it are two of the process' key goals. Many researchers in the field of picture interpretation have brought this to our attention. To properly mine the edges information from the image is one of the most difficult steps in image interpretation. The contours of an item may be used to create edges, which are the basic elements of a picture. Edge detection is a commonly used imaging technique that may be created from an object's outline. Edge detection is frequently employed in image processing and analysis. 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 and other methods.
Keywords:
Image segmentation; Edge detection; Prewitt; Sobel; Laplacian of Gaussian; Canny; Roberts fuzzy; Hopfield neural
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