Novel FIR approximations of IIR differentiators with applications to image edge detection
Mohamad Adnan Al‐Alaoui
Abstract
Mohamad Adnan Al‐Alaoui
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.
OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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.
Key concepts: Differentiator, Infinite impulse response, Finite impulse response, Filter (signal processing), Algorithm, 2D Filters, Enhanced Data Rates for GSM Evolution, Computer science