Dissertation
Dissertation > Aviation, aerospace > Aviation > Airports (stations), the airport and its management > Airport (station ),airport > Buildings in the airport (station ) > Runways, taxiways, aprons

Foreign Body Identification and Location of the Airport Runway

Author XiaoDi
Tutor WangShuYun; ShaoChengHui
School Jilin University
Course Computational Mathematics
Keywords correlation matching similarity measurement mesh segmen-tation
CLC V351.11
Type Master's thesis
Year 2013
Downloads 37
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Foreign object recognition and positioning is an important content of the graphics pro-cessing.This article by learning and understanding of a mature image matching technologyto identify and locate the image into the imaging environment for a given airport runwaydebris§in order to determine the location of the debris, eliminate its impact on the normaloperation of the airport.The completion of the specific content is as follows:1.During the experiment, based on the real-time requirements, the analysis of imagefeatures,research images have a good understanding of the basic characteristics of the imagefrom informed.2.According to the traditional theory of image matching technology, for the airport run-way in the template image and the real-time image registration problem,propose a basedTemplate-matching method based on image texture and MCD combination matching al-gorithm.This algorithm takes advantage of the advantages of the two algorithms to solvethe problem of the airport runway image registration difcult environment outside influ-ences,meanwhile, the traditional image matching algorithms to be classified and simple de-scription and comparative experiments.3.Propose a thickness of the grid segmentation method for matching determination ofthe position of the region debris:small piece of the similarity between the corresponding in-terception templates and matching area twice the image segmentation, and compare eachsplit.Wherein the first split using a standardized measure of the similarity between the cor-responding small piece covariance,find the values satisfy the small blocks is less than the previously set threshold value,debris whether there preliminary determination.After the sec-ond split take the corresponding grayscale diference approach to precisely determine theemergence of debris and calculate debris Area area.4.Propose an automatic threshold binarized:Improved image binarization method,Co-mputational and statistical image histogram automatically select the best segmentation thresh-old,avoid the problem that threshold is difcult to estimate in advance of,subtraction imageafter binarization,do erosion and dilation operations,determine the location and size of thedebris.

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