Title :
Direct approach to image edge detection using differentiators
Author :
Al-Alaoui, Mohamad Adnan
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
Abstract :
This work addresses employing a direct approach to edge detection without using masks. In the process it introduces two novel ideas, the direct approach and using IIR differentiators. Traditional edge detection relies on mask edge detectors based on FIR differentiators. The masks have to be small, thus the masks are based on low order FIR differentiators. It is well known that IIR digital filters outperform the same order FIR filters. Several differentiators are employed. The results show the superiority of the new approach.
Keywords :
FIR filters; IIR filters; edge detection; FIR differentiators; IIR differentiators; IIR digital filters; direct approach; image edge detection; Image edge detection; Al-Alaoui operator; Edge detection; Sobel operator; central difference differentiator;
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-8155-2
DOI :
10.1109/ICECS.2010.5724477