DocumentCode
2438426
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
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
1122
Lastpage
1127
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707865
Filename
5707865
Link To Document