Magneto-optic image enhancement method based on optical flow algorithm

An image enhancement, magneto-optical technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of large size of magnetizer, weak anti-interference ability, limited amount of information, etc.

Active Publication Date: 2017-09-19
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the DC excitation, not only the magnetizer has a large volume and high energy consumption, but also under a constant magnetization field, the leakage field is constant, and the amount of information obtained is limited, which is not conducive to the extraction of defect features, and the anti-interference ability is weak;

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
  • Magneto-optic image enhancement method based on optical flow algorithm
  • Magneto-optic image enhancement method based on optical flow algorithm
  • Magneto-optic image enhancement method based on optical flow algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0034] figure 1 It is a flow chart of the magneto-optical image enhancement method based on the optical flow algorithm of the present invention.

[0035] In this example, if figure 1 As shown, the magneto-optical image enhancement method based on the optical flow algorithm of the present invention includes two major steps, namely:

[0036] Step S1: Acquisition of magneto-optical images

[0037] In magneto-optical image detection, a sinusoidal AC power supply with a frequency of 0.1 Hz is used as an excitation, and a magnetic material such as a silicon steel sheet is phot...

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 magneto-optic image enhancement method based on an optical flow algorithm. Low-frequency AC excitation is used for excitation of a magnet yoke, an image set is obtained under different signal intensities through a periodic variable magnetic field, and a low-frequency signal enables magnetic force lines to pass through a deeper region of a detected object, thereby enabling a magneto-optic image to reflect the defect information of the deeper region, and reducing the impact from the skin effect. Meanwhile, the multi-point sampling and photographing (collection) can be carried out in one period, thereby increasing the data information of the magneto-optic image. However, the magneto-optic image obtained through the above method has the interference noise caused by magnetic domain movement under the action of a low-frequency AC signal, and is liable to be mixed with the defect information, thereby reducing the image detection information. Therefore, the method employs a pyramid optical flow algorithm for the iteration processing of the magneto-optic image, achieves the accumulation of feature points generating optical flow motion, and obtains an optical flow enhanced image. The enhanced image is more apparent in image gradient changes, greatly reduces the interference, and is more visual in defect information.

Description

technical field [0001] The invention belongs to the technical field of nondestructive testing of magnetic materials, and more specifically relates to a magneto-optical image enhancement method based on an optical flow algorithm. Background technique [0002] Non-destructive testing (Non-destructive testing) refers to the use of physical quantity changes caused by abnormal internal structures of materials such as heat, sound, light, electricity, and magnetism on the premise of not damaging or affecting the internal organization of the object to be tested. The change of the physical quantity caused by the change of the material structure is detected, and the change value of the physical quantity is measured to invert the change of the material structure. It is worth noting that the change value of the physical quantity obtained in the experiment may contain a lot of other information, so it is necessary to exclude other external disturbances to make a reliable judgment on the ...

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): G06T7/00G06T7/269G06T5/50
Inventor 程玉华白利兵黄逸云夏永照殷春王永刚
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products