Year: 2025
Type: article
Abstract: In this paper, we propose a new gradient edge detection method based on the Caputo $k$-fractional derivative. In this method, we construct a new $ 3×3 $ fractional order mask to obtain the gradient components. The main property of this technique is that it has a double memory effect in detecting edges. The experimental results for some natural and medical test images show that our proposed edge detection method outperforms both Caputo and Caputo-Fabrizio fractional methods in terms of both visual perception and peak signal to noise ratio.
DOI: 10.5269/bspm.78430
Institutions: University of Eloued, Amar Telidji University of Laghouat
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7168285902