DocumentCode
2921753
Title
Novel FIR approximations of IIR differentiators with applications to image edge detection
Author
Al-Alaoui, Mohamad Adnan
Author_Institution
Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
fYear
2011
fDate
11-14 Dec. 2011
Firstpage
554
Lastpage
558
Abstract
In this work, an FIR approximation of the Al-Alaoui first order IIR differentiator is presented. The resulting FIR filter is shown to perform a good approximation of the IIR differentiator. Furthermore, it is shown to outperform other FIR approximations, obtained via windowing techniques, of the Al-Alaoui first order IIR differentiator. The obtained FIR differentiator is used to generate masks for image edge detection. The results show the superiority of the masks derived from the new FIR filter when compared to other techniques in image edge detection.
Keywords
FIR filters; edge detection; Al-Alaoui first order IIR differentiator; FIR approximations; FIR filter; image edge detection; Approximation methods; Finite impulse response filter; Gaussian noise; IIR filters; Image edge detection; Smoothing methods; Al-Alaoui operator; Canny edge detection; Edge detection; Prewitt mask; Sobel mask;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
Conference_Location
Beirut
Print_ISBN
978-1-4577-1845-8
Electronic_ISBN
978-1-4577-1844-1
Type
conf
DOI
10.1109/ICECS.2011.6122335
Filename
6122335
Link To Document