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.
CITATION STYLE
Mohammed, T. S., & Ibrahim, A. S. (2015). Simulation and Analysis for Activities in Image Recognition Using MATLAB®. Computer Science and Information Technology, 3(1), 22–30. https://doi.org/10.13189/csit.2015.030104
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