Edge detection optimization using fractional order calculus
Joint Authors
Miqdishi, Muhammad
Fardi, Yusuf
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019), pp.827-832, 6 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Abstract EN
In computer vision and image processing, time and quality are major factors taken into account.
In edge detection process, the smoothing operation by a low-pass filter is commonly performed first in order to reduce noise effect.
However, performing the smoothing operation partially requires additional computational time and alters true edges as well.
Attempting to resolve such problems, a new approach dealing with edge detection optimization is addressed in this paper.
For this purpose, a short edge detector algorithm without smoothing operation is proposed and investigated.
This algorithm is based on a fractional order mask used as kernel of convolution for edge enhancement.
It has been shown that in the proposed algorithm, the smoothing pre-process is no longer necessary; because, the efficiency of our fractional order mask is expressed in term of immunity to noise and the capability of detecting edges.
Simulation results show how the quality of edge detection can be enhanced on adjusting the fractional order parameter.
Then, our proposed edge detection method can be very useful in real time applications in some fields such as, satellite and medical imaging.
American Psychological Association (APA)
Miqdishi, Muhammad& Fardi, Yusuf. 2019. Edge detection optimization using fractional order calculus. The International Arab Journal of Information Technology،Vol. 16, no. 5, pp.827-832.
https://search.emarefa.net/detail/BIM-895073
Modern Language Association (MLA)
Miqdishi, Muhammad& Fardi, Yusuf. Edge detection optimization using fractional order calculus. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019), pp.827-832.
https://search.emarefa.net/detail/BIM-895073
American Medical Association (AMA)
Miqdishi, Muhammad& Fardi, Yusuf. Edge detection optimization using fractional order calculus. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5, pp.827-832.
https://search.emarefa.net/detail/BIM-895073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 831-832
Record ID
BIM-895073