| Summary: | A design of digital image processing on runway detection system had been
created. These runway detection system was created by utilizing computer
vision.Methods used in this system are region of interest, grayscale, canny edge
detection and hough transform. In order to provide sufficient data in image
processing, a video of the runway was taken before. Thus, the image being
processed through several methods. Those methods are image preprocessing,
followed by grayscale, canny edge detection and hough transform to detect lines
runway. The coordinate points of detected line then sent to the microcontroller to
be processed and generates ruder servo movement on the aircraft. Programming
used in the manufacture of this runway detection system is OpenCV 2.4.3 and
Visual Studio 2010. The programming language used is C + + language
The test performed using a runway video that has been taken directly at the
runway behind STTA Adisucipto aeromodelling ground, Yogyakarta. The test
gave satisfactory result, the system capable of detecting the best runway when
hough tranform given filter angle of 5-7 degrees. The system is capable of
detecting ground well at a height of up to 8 meters above the ground. And its able
to detect runway well when the video taken with plane speeds up to 60 km / hour.
|
|---|