Supercharge Your Innovation With Domain-Expert AI Agents!

Pulsed eddy current thermal imaging high-resolution sharpening method based on deep learning

A high-resolution, pulsed eddy current technology, applied in graphics and image conversion, image data processing, instruments, etc., can solve the problems of low resolution of pulsed eddy current thermal imaging, low signal-to-noise ratio of original infrared images, poor analysis and visualization effects, etc. , to achieve the effect of realizing high-resolution clarity, realizing defect signal enhancement, and improving detection sensitivity

Active Publication Date: 2020-01-07
XIAN UNIV OF TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the low resolution of pulsed eddy current thermography results in poor analysis and visualization
When using pulsed eddy current thermal imaging technology to detect metal defects, there are problems such as poor setting of excitation parameters, small defect size and environmental factors, resulting in low signal-to-noise ratio of the original infrared image and blurred defect features.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pulsed eddy current thermal imaging high-resolution sharpening method based on deep learning
  • Pulsed eddy current thermal imaging high-resolution sharpening method based on deep learning
  • Pulsed eddy current thermal imaging high-resolution sharpening method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0047] Such as figure 1 As shown, a high-resolution clearing method of pulsed eddy current thermal imaging based on deep learning, the process is as follows:

[0048] The pulsed eddy current images were collected, and 3000 pictures were selected as the training data set of the model, and the training images were high-definition images input into the network as supervised learning. Downsampling is used as a low-resolution image for training;

[0049] The training sample is input into the ESRGAN network to generate the initial high-resolution image, the gradient transformation network reconstructs the high-resolution gradient image, and the fusion reconstruction network fuses the initial high-resolution image and the gradient high-resolution image into the final high-resolution eddy current image. The original image size is 218×533, and the re...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a pulsed eddy current thermal imaging high-resolution sharpening method based on deep learning. The method comprises the following steps: 1) collecting an image; 2) obtaining alow-resolution image; 3) carrying out ESRGAN network training; 4) constructing and training a gradient conversion network module; 5) constructing and training a fusion network module; 6) model testing; performing super-resolution reconstruction on the pulsed eddy current thermal imaging image based on deep learning; fusing the initial high-resolution image and the gradient high-resolution image through a fusion module to generate a final high-resolution image. According to the invention, the gradient is introduced on the basis of the high-resolution image reconstructed by the ESRGAN network to improve the high-frequency information of the image, enhance the contour and detail information of the image, and improve the image reconstruction effect; high-resolution sharpness of pulsed eddy current thermal imaging can be achieved, the requirement for the resolution of a thermal infrared imager is lowered, cost is lowered, the requirement for pulsed eddy current power and action time is lowered, energy consumption is reduced, damage to a target is reduced, and measurement rapidity is improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image super-resolution reconstruction, and specifically relates to a high-resolution clearing method of pulsed eddy current thermal imaging based on deep learning. Background technique [0002] As a kind of infrared detection technology, pulsed eddy current thermal imaging technology is gradually being applied to the health detection of metal component structures due to its advantages of high efficiency, non-contact, controllability, simple operation, and intuition, especially for metal subsurface defects due to its Features are not easy to observe and detect directly on the material surface, so pulsed eddy current thermal imaging is an effective method. However, the low resolution of pulsed eddy current thermography results in poor analysis and visualization. When using pulsed eddy current thermal imaging technology to detect metal defects, there are problems such as poor setting of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T3/40
CPCG06T3/4076G06T3/4046
Inventor 杨延西毛如玉邓毅
Owner XIAN UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More