Computer Science and Information Technology Vol. 3(1), pp. 22 - 30
DOI: 10.13189/csit.2015.030104
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Simulation and Analysis for Activities in Image Recognition Using MATLAB®

Thabit Sultan Mohammed ^1,*, Ahmmed Saadi Ibrahim ^2
1 ECE Department, College of Engineering, Dhofar University, 211 Salalah, P.O Box. 2509, Sultanate of Oman
² Chemical Engineering Department, Dhofar University, 211 Salalah, P.O Box. 2509, Sultanate of Oman

ABSTRACT

This paper considers a fact that solutions to problems in the field of digital image processing require lots of experimental work involving software simulation and testing with large sets of sample images. A short overview of the fundamental steps of digital image processing is presented. The layout and the operation of an experimental software system that has been developed and implemented using MATLAB® is introduced. A user friendly GUI is developed and two alternative methods for image acquisition are implemented. Few algorithms based on mask operators for image edge detection are studied, programmed, simulated, and evaluated. The paper also includes an analysis and a software implementation for an image matching technique.

KEYWORDS
Image Recognition, Image Processing, Edge Detection, Smoothing, Matching, Mask Operators

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Thabit Sultan Mohammed , Ahmmed Saadi Ibrahim , "Simulation and Analysis for Activities in Image Recognition Using MATLAB®," Computer Science and Information Technology, Vol. 3, No. 1, pp. 22 - 30, 2015. DOI: 10.13189/csit.2015.030104.

(b). APA Format:
Thabit Sultan Mohammed , Ahmmed Saadi Ibrahim (2015). Simulation and Analysis for Activities in Image Recognition Using MATLAB®. Computer Science and Information Technology, 3(1), 22 - 30. DOI: 10.13189/csit.2015.030104.