Data Research, Vol. 4, Issue 4, Aug  2020, Pages 1-10; DOI:

Digital Image Processing-based Fighter Aircraft Recognition System by MATLAB

Data Research, Vol. 4, Issue 4, Aug  2020, Pages 1-10.


Hnin Aye Khaing 1 , Kyaw Thura 1 , Hla Myo Tun 2*

1 Department of Electronic Engineering, Technological University, Pathein, Myanmar

2 Department of Electronic Engineering, Yangon Technological University, Yangon, Myanmar

Received: 10 May 2020; Accepted: 18 May 2020; Published: 20 May 2020

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The paper mainly focuses on the digital image processing-based fighter aircraft recognition system by MATLAB. The research problem in this study is to check the recognized images among all images in the training data set. The solution of this research is to implement the image processing algorithm for specific purposes. Fighter aircraft recognition systems assume the successful isolation of the aircraft silhouette from the background. This system is based on aircraft shape such as wing, tail, nose of vehicle, morphological properties and color based properties. In this system, image processing techniques are first employed to perform the image preprocessing tasks, such as image quality enhancement, noise removal, edge detection, and then feature extraction tasks, such as dilation, erosion and boundary detection. Experimental results reveal the feasibility and validity of the proposed approach in recognizing aircrafts images. This system can be implemented in classification or identification process of aircrafts for military surveillance. In this paper, although various types of automatic aircraft recognition system can be used, image processing with MATLAB programming language is applied to recognize aircraft.


Fighter Aircraft Recognition System, Filtering, Noise Reduction, Image Processing, Boundary Detection, MATLAB


© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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