Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement

• Published in: Circuits, systems, and signal processing Vol. 37; no. 9; pp. 3946 - 3972
• Main Authors: Nandal, Amita, Gamboa-Rosales, Hamurabi, Dhaka, Arvind, Celaya-Padilla, Jose M., Galvan-Tejada, Jorge Issac, Galvan-Tejada, Carlos Eric, Martinez-Ruiz, Francisco Javier, Guzman-Valdivia, Cesar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2018; Springer Nature B.V
• Subjects: Circuits and Systems; Differential equations; Differentiation; Edge detection; Electrical Engineering; Electronics and Microelectronics; Engineering; Fractional calculus; Frequency domain analysis; Image contrast; Image detection; Image enhancement; Image processing; Image quality; Instrumentation; Mathematical analysis; Operators (mathematics); Performance measurement; Qualitative analysis; Signal,Image and Speech Processing; Texture; Directional component; Shrinking factor; Differential operators; Gaussian noise; Contrast enhancement; Integer-order derivative; Edge component; Edge detection; Corner detection

Edge detection is an important aspect of image processing to improve image edge quality. In the literature, there exist various edge detection techniques in spatial and frequency domains that use integer-order differentiation operators. In this paper, we have implemented feature and contrast enhance...