Treffer: A Comparison of Sobel and Prewitt Edge Detection Operators
Title:
A Comparison of Sobel and Prewitt Edge Detection Operators
Authors:
Source:
مجلة الشرق لعلوم الكمبيوتر; مجلد 1 عدد 1 (2025): العدد الأول (2025); 49-58 ; East Journal of Computer Science; Vol. 1 No. 1 (2025): ISSUE 1 (2025); 49-58 ; 3079-9406
Publisher Information:
East Publication & Technology
Publication Year:
2025
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
DOI:
10.63496/ejcs.Vol1.Iss1.16
Availability:
Rights:
Copyright (c) 2025 East Journal of Computer Science ; https://creativecommons.org/licenses/by/4.0
Accession Number:
edsbas.E18960E5
Database:
BASE
Weitere Informationen
This paper presents a comparative analysis of Sobel and Prewitt edge detection operators, focusing on their performance in detecting edges in digital images. Both methods are widely utilized in image processing to enhance and identify object boundaries. The study employs the Berkeley Segmentation Dataset 500 (BSDS500) for evaluation and MATLAB for implementation. Key performance metrics such as accuracy and execution time are analyzed. Results indicate that while Prewitt outperforms Sobel in terms of edge clarity and precision, Sobel shows a slight advantage in computational efficiency. This research provides valuable insights into the selection of edge detection techniques for various image processing applications