REVIEW OF EDGE DETECTION METHODS IN IMAGES: BENEFITS, LIMITATIONS AND DEVELOPMENT PROSPECTS

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Published: Jun 17, 2023
Keywords:
Edge detection, Feature Similarity Index (FSIM), Neural networks and segmentation.

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A.Z. Zokhidov
PhD student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan
M.A. Rikhsivoev
PhD student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan

Abstract

This article outlines the procedures involved in an edge detection system in particular. The review details the fundamental concepts of edge detection, from the choice of the detection method to the differentiation and to the reason why a particular derivative is used. In edge detection many researchers hold on scientific work to enhance clearness and accurateness in order to be efficient foundation in face recognition, license plate detection and others. There are many existing edge detection methods like Canny, Sobel, Arbelaz and others are considered.

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How to Cite
A.Z. Zokhidov, & M.A. Rikhsivoev. (2023). REVIEW OF EDGE DETECTION METHODS IN IMAGES: BENEFITS, LIMITATIONS AND DEVELOPMENT PROSPECTS. Proceedings of International Conference on Modern Science and Scientific Studies, 2(6), 284–294. Retrieved from https://econferenceseries.com/index.php/icmsss/article/view/2319
Issue
Vol. 2 No. 6 (2023): ICMSSS
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Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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