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Fluorescent magnetic powder-based intelligent defect identification system

A defect recognition, fluorescent magnetic powder technology, applied in character and pattern recognition, material magnetic variables, image data processing, etc., can solve problems such as damage to health, low efficiency, and high labor intensity

Inactive Publication Date: 2017-09-08
SOUTHWEAT UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, this technology still relies on manual visual inspection, which has objective shortcomings such as high labor intensity, low efficiency, and damage to health.

Method used

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  • Fluorescent magnetic powder-based intelligent defect identification system
  • Fluorescent magnetic powder-based intelligent defect identification system
  • Fluorescent magnetic powder-based intelligent defect identification system

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Embodiment Construction

[0034] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] Such as figure 1 As shown, a flow chart of an intelligent defect recognition system based on fluorescent magnetic particles, the system mainly includes scene depth information acquisition, magnetic mark image preprocessing, image segmentation, morphological processing and feature extraction, and crack recognition.

[0036] Such as figure 2 As shown, a block diagram of an intelligent defect recognition system based on fluorescent magnetic powder. First, the image of the workpiece is obtained from the specific factory environment, and then the RGB image of the magnetic mark is transmitted to the host computer. Firstly, the adaptive median filtering is carried out, and then the color image segmentation method of SVM+FCM is used for processing. Afterwards, the segmented color image is converted into an...

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Abstract

The invention discloses a fluorescent magnetic powder-based intelligent defect identification system. The system mainly comprises scene depth information collection, magnetic trace image preprocessing, color image segmentation based on a support vector machine (SVM) algorithm and a fuzzy C-mean (FCM) clustering algorithm, morphological processing and feature extraction, and crack identification based on a naive Bayesian classifier (NBC).

Description

technical field [0001] The invention relates to an intelligent defect recognition system based on fluorescent magnetic powder, which enables the software system to complete the detection of bearing surface cracks in a factory environment, and belongs to the technical field of machine recognition. Background technique [0002] In recent years, the inspection of metals has developed widely, including ray inspection, ultrasonic inspection, eddy current inspection, laser imaging, etc. This paper now proposes a new type of intelligent defect recognition system based on fluorescent magnetic particles. [0003] Magnetic particle testing (MT) is used to detect surface or near-surface defects of ferromagnetic materials. Since discontinuous magnetic marks are accumulated on the surface to be tested, it can intuitively display the discontinuous shape, position and size, and can roughly determine its nature. The sensitivity of magnetic particle detection can detect discontinuous width ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/40G06T7/00G06T7/11G06T7/194G01N27/84
CPCG06T7/0004G06T7/11G06T7/194G01N27/84G06T2207/10004G06T2207/20036G06V10/30G06F18/24155G06F18/2411
Inventor 刘桂华杨康张华牛乾游斌相康含玉黄占鳌
Owner SOUTHWEAT UNIV OF SCI & TECH
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