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The Aircraft Fuel Tank Endoscopic Appearance Modeling And Feature Analysis

Posted on:2018-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2322330533960199Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The traditional manual aircraft tank inspection requires the maintenance crew to enter the tank to perform the inspection and maintenance tasks,which have the problems of high risk and low efficiency.In order to realize the visual inspection of the aircraft fuel tank,the image-based endoscopic modeling method was adopted,and the defect detection method based on the feature analysis was put forward.The research is of great significance to improve the aircraft fuel tank inspection efficiency and ensure the safety of the maintenance crew.Firstly,the image acquisition approach for panorama modeling and defect detection was proposed.According to the internal structural characteristics and the inspection requirements of the aircraft fuel tank,the observation system of the aircraft tank endoscopic appearance was established.The geometric deformation of the observation system was calibrated and corrected.In addition,three kinds of projection methods of the image-based aircraft tank endoscopic appearance panorama were analyzed.Secondly,the image stitching scheme in the process of endoscopic panorama modeling of aircraft fuel tank was presented.Detecting,the initial matching and the screening of the feature points extracted from the aircraft fuel tank endoscopic image were carried out.In fact,the registration process of aircraft fuel tank endoscopic image is essentially a scene matching problem in different planes.So the aircraft tank endoscopic image registration algorithm based on structural similarity was proposed to solve this problem.And the evaluation indexes of image mosaic effect were presented.Thirdly,the method of defect discrimination based on feature analysis was proposed.The defect identification method based on feature vector was used to determine whether there are defects in the image.Furthermore,the composite feature analysis was adopted as the defect classification to judge the defect category.The monocular localization algorithm based on structure from motion was presented to locate target area of the aircraft tank and provide reference for the maintenance crew.Finally,the prototype was established to verify the methods proposed in this paper.The experiments showed that the validity of the modeling method and the correctness of the defect discrimination method.
Keywords/Search Tags:Aircraft fuel tank, image acquisition, image registration, feature analysis, defect discrimination
PDF Full Text Request
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