Generalized Quantification Function of Monogenic Phase Congruency

Edge detection is a technique in digital image processing that detects the contours of objects based on changes in brightness. Edges can be used to determine the size, orientation, and properties of the object of interest within an image. There are different techniques employed for edge detection, one of them being phase congruency, a recently developed but still relatively unknown technique due to its mathematical and computational complexity compared to more popular methods. Additionally, it requires the adjustment of a greater number of parameters than traditional techniques. Recently, a unique formulation was proposed for the mathematical description of phase congruency, leading to a better understanding of the technique. This formulation consists of three factors, including a quantification function, which, depending on its characteristics, allows for improved edge detection. However, a detailed study of the characteristics had not been conducted. Therefore, this article proposes the development of a generalized function for quantifying phase congruency, based on the family of functions that, according to a previous study, yielded the best results in edge detection.

• Autores: Forero, Manuel G.; Jacanamejoy, Carlos A; Machado, Maximiliano; Penagos, Karla L.
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2023
• Institución: Universidad de Ibagué
• Repositorio: Repositorio Universidad de Ibagué
• Idioma: eng
• OAI Identifier: oai:repositorio.unibague.edu.co:20.500.12313/5555
• Acceso en línea: https://hdl.handle.net/20.500.12313/5555; https://www.mdpi.com/2227-7390/11/17/3795
• Palabra clave: Fase Monogénica; Detección de bordes; Transformada de Fourier; Energía local; Filtro log-Gabor; Filtros monogénicos; Congruencia de fase; Edge detection; Fourier transform; Local energy; Log-Gabor filter; Monogenic filters; Phase congruency
• Rights: openAccess
• License: © 2023 by the authors.