Title :
A novel fractional-order signal processing based edge detection method
Author :
Yang, Haibo ; Ye, Yongqiang ; Wang, Danwei ; Jiang, Bin
Author_Institution :
Dept. of Autom. Control, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Image edge detection is a classic problem of machine vision and image processing. Edge detection often uses an integer-order differential operation. The paper adopts fractional differentiation and integration to obtain a new edge detection operator. The performances in terms of detection accuracy and noise immunity of the new operator are compared with those of the traditional operators through examples. The comparison shows that the new operator is promising.
Keywords :
differential equations; edge detection; detection accuracy; fractional differentiation; fractional integration; fractional-order signal processing; image edge detection; image processing; integer-order differential operation; machine vision; noise immunity; Accuracy; Approximation methods; Compounds; Convolution; Image edge detection; Noise; Smoothing methods; detection accuracy; edge detection; fractional differentiation; fractional integration; image processing; noise immunity;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707865
