Abstract

In view of the lack of image enhancement processing in the traditional methods in image preprocessing, which leads to a long detection time for internal cracks in the image and poor visual effects, an intelligent detection method for internal cracks in aircraft landing gear images under multimedia processing is proposed. A spatial index structure is established based on the multimedia database, and the aircraft landing gear images in the structure are enhanced and denoised. Image segmentation is performed according to the preprocessing results, the crack foreground and the road surface background in the image are separated, and the threshold value of each image is calculated. The threshold segmentation result is used to distinguish which pixels are the areas where the cracks may exist and which pixels belong to the image background, and the judgment result realizes crack detection. The experimental results show that the crack detection time of the proposed method is shorter, the visual effect of the detection results is better, and the average of the expert score reaches 93.6 points, which verifies the effectiveness of the proposed method from both the subjective and objective aspects.

Highlights

  • Image ofrelevant theshows aircraft landing gear is by obtained by thethe image is denoised, which provides the information for the intelligent detection of detection time of the proposed method is always lower than that of the traditional hyperspectral sensor, and thelanding hyperspectral image is indicates denoised,that which providestime the of internal cracks in the aircraft gear image, which the detection methods; this is for because the method of this paper cracks optimizes the existing image relevant information intelligent detection of internal in the aircraft landing the proposed method isthe shorter and the detection efficiency is higher, which fully verifies enhancement algorithm by morphology based on the existing image enhancement gear image, whichofindicates that the detection time of the proposed method is shorter and the advantages the proposed method

  • The hyperspectral image of the aircraft landing gear is obtained by the hyperspectral sensor, and the hyperspectral image is denoised, which provides the relevant information for the intelligent detection of internal cracks in the aircraft landing gear image, which indicates that the detection time of the proposed method is shorter and

  • In order to solve the problems of the long detection time and poor detection effect of image internal cracks in traditional methods, an intelligent detection method for internal cracks in aircraft landing gear images under multimedia processing is proposed

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In view of the poor visual effect of the traditional method, the fuzzy edge information of the crack image and the long detection time, with the help of multimedia data indexing technology, an intelligent detection method for the internal crack of the aircraft landing gear image is proposed. From these three main aspects, the research content of image crack detection of the aircraft landing gear is explained.

Spatial Index Structure of Multimedia Database
SpatialisIndex of Multimedia
Image Enhancement of Aircraft Landing Gear
Image Denoising of Aircraft Landing Gear
Simulation Experiment
Experimental Design
Verification of Experimental Results
Visual
Crack detection time comparison
Conclusions
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