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Lunar Circle Pit Recognition Based on Multi-level De-noising Hough Transform
- Source :
- Research Journal of Applied Sciences, Engineering and Technology. 9:671-678
- Publication Year :
- 2015
- Publisher :
- Maxwell Scientific Publication Corp., 2015.
-
Abstract
- In order to solve the problem of selecting lunar soft landing spot, this study doped out a solution to the problem. Collect images of the lunar surface and analyze them. According to the fact that the speed and accuracy of selecting lunar soft landing spot are highly required in the field of aviation, this study proposed circle pit recognition method based on Multi-level de-noising Hough transform. In this method, do halved sampling process repeatedly on the original images in order to get a set of variable resolution image of pyramid like. Search the circle pit position in the lowest resolution image roughly. And then refine soft landing point in the high resolution images in order to get the lunar circle pit position accurately. Do experiments using the images of the lunar surface which were collected by Chang 'e-3. What's more, selecting the appropriate landing point selection mechanism to select a soft landing point and verify results. After doing all of these, compare this method with five kinds of traditional methods. The experimental results shows the method which is proposed in this study effectively improves the speed and accuracy of Hough transform circle detection, with strong robustness and high efficiency, so as to improve the speed and accuracy of selected lunar soft landing point.
- Subjects :
- General Computer Science
Soft landing
Computer science
business.industry
General Engineering
Field (computer science)
Hough transform
law.invention
Image (mathematics)
Robustness (computer science)
law
Position (vector)
Point (geometry)
Computer vision
Artificial intelligence
Pyramid (image processing)
business
Subjects
Details
- ISSN :
- 20407467 and 20407459
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Research Journal of Applied Sciences, Engineering and Technology
- Accession number :
- edsair.doi...........c9035c1521016024d80f823e9dbf3195