Novel FIR approximations of IIR differentiators with applications to image edge detection

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-...

Full description

Saved in:
Bibliographic Details
Main Author: Al-Alaoui, M. A.
Format: Conference Proceeding
Language:English
Subjects:
Al-Alaoui operator
Approximation methods
Canny edge detection
Edge detection
Finite impulse response filter
Gaussian noise
IIR filters
Image edge detection
Prewitt mask
Smoothing methods
Sobel mask
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/ICECS.2011.6122335