FRACTIONAL ORDER METHODS FOR EDGE DETECTION: A REVIEW
Sergio Rengifo-Lozano, José Rodriguez-Melquiades
National University of Trujillo, Trujillo, Peru
Abstract: Edge detection is an essential task in image processing and computer vision. In this context, fractional computation has emerged as an innovative technique capable of addressing the limitations of traditional methods. This article systematically reviews the application of fractional calculus in edge detection, evaluating theoretical and practical approaches, as well as methodologies for determining fractional order. Recent advances, such as fractional operators that improve edge and detail accuracy in complex images, are highlighted. However, challenges remain, such as the standardization of fractional order and its adaptation to various contexts. The study reflects on current strengths and limitations, suggesting future directions for research.
Keywords: Edge Detection, Image Processing, Fractional Methods, Parameter Optimization