The majority of the aircraft recognition methods assume the successful isolation of the aircraft silhouette from the background. 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 automatic recognition. This system is the specific study of pattern recognition system based on aircraft shape such as wing, tail, nose of vehicle, morphological properties and color based properties. Although various types of automatic aircraft recognition system can be used, image processing with Matlab programming language is used to recognize aircraft. It is to make the system more flexible and refers to the task of selecting, detecting and successfully identifying different potential targets from simple scenes to complex scenes.
Nilar Oo (2018); Design and Implementation of Automatic Aircraft Recognition System by using Image Processing; International Journal of Scientific and Research Publications (IJSRP)
8(8) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.8.8.2018.p8023