Composite sleeper pore defect identification method based on Gabor multi-feature extraction and optimization

A composite sleeper and defect recognition technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as quantitative defect recognition, and achieve the effect of improving recognition accuracy and accuracy

Active Publication Date: 2019-07-26
XI AN JIAOTONG UNIV
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Problems solved by technology

However, due to the complexity of composite sleeper materials and the uncertainty of pore defects, how to accurately extract the weak pore defect characteristic informa

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  • Composite sleeper pore defect identification method based on Gabor multi-feature extraction and optimization
  • Composite sleeper pore defect identification method based on Gabor multi-feature extraction and optimization
  • Composite sleeper pore defect identification method based on Gabor multi-feature extraction and optimization

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[0042] The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment:

[0043] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0044] refer to figure 1 Shown is the flow chart of composite sleeper pore defect identification. First, based on the X-ray attenuation characteristics of the composite sleeper, the X-ray transillumination detection is performed on the composite sleeper with the optimal detection system parameters to obtain the original ray image; then, the original ray image is obtained. The image is preprocessed, including line minimum noise reduction and blur enhancement; then, the multi-scale and multi-directional feature extraction of the ray image is performed using the designed Gabor filter bank, and the image wi...

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Abstract

The invention discloses a composite sleeper pore defect identification method based on Gabor multi-feature extraction and optimization. The method comprises: firstly, carrying out X-ray transillumination detection on the composite sleeper through optimized detection system parameters on the basis of the attenuation characteristic of the composite sleeper to X rays, and obtaining an original projection image; secondly, preprocessing the original ray image, including line minimum noise reduction and fuzzy enhancement; secondly, performing multi-scale and multi-direction feature extraction on theray image by utilizing a designed Gabor filter bank, and performing screening according to an energy criterion to obtain an image with prominent pore defect features; vectorizing the feature image, performing mean value removal and normalization, and completing clustering and segmentation of the pore defects by using a fuzzy C-means method; and finally, removing miscellaneous points and pseudo defects by using morphological opening and closing operation, and calculating defect geometric characteristic parameters to realize quantitative identification of the pore defects.

Description

technical field [0001] The invention relates to a composite material defect detection method, in particular to a Gabor multi-feature extraction and optimization method for composite sleeper pore defect recognition. Background technique [0002] Composite sleeper is a composite material structure made of rigid polyurethane resin foam reinforced by glass fiber yarn bundles, and is manufactured by pultrusion. Compared with other sleepers, this material has many excellent properties such as light weight, corrosion resistance, strong vibration damping, and good fatigue resistance, so it is used in rail transit engineering fields such as subways and high-speed rails. However, during the production process, there will be pore defects with excessive size inside the composite sleeper, which will seriously degrade the service performance of the composite sleeper structure, causing economic losses and safety accidents. Therefore, with the increase in the application and demand of comp...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T5/20G06T7/11G06K9/46G06K9/62G01N23/04
CPCG06T7/0008G06T5/002G06T5/003G06T5/20G06T7/11G01N23/04G06T2207/10116G06T2207/30108G06T2207/20024G06V10/464G06F18/211G06F18/23213
Inventor 张周锁孟梨斌赵海强贾俊康
Owner XI AN JIAOTONG UNIV
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