Automatic detection method and device for magnetic tile surface defect based on machine vision

A machine vision and automatic detection technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems such as the detection method has not made substantial progress, the chamfering is unqualified, and the modern production operation cannot be satisfied.

Inactive Publication Date: 2011-11-23
GUANGZHOU SHENGTONG QUALITY TESTING OF CONSTR
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Problems solved by technology

Due to the diversity and complexity of the defects of porcelain tiles and magnetic tiles (including cracks, collapse, unqualified chamfers, underwear, starting grades, stains, etc.), the research on its detection methods has not been substantive. Progress. A...

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  • Automatic detection method and device for magnetic tile surface defect based on machine vision
  • Automatic detection method and device for magnetic tile surface defect based on machine vision
  • Automatic detection method and device for magnetic tile surface defect based on machine vision

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Embodiment Construction

[0014] The numbers collected by the CCD image acquisition card are stored as image files in the form of a two-dimensional matrix, and then the image processing unit uses an adaptive median filter algorithm combining median and average values ​​to filter the collected images, mainly to filter out impulse noise and Gaussian noise, the filtered image is then segmented and binarized based on the bimodal characteristic threshold of the gray histogram. On the basis of binarization, 2×3 rectangular structural elements are selected for mathematical morphology corrosion operations, and then via Roberts operator Edge detection obtains clear defect edge contours and defect areas, and the area features are obtained through pixel-based area feature calibration. The feature data is input into the pattern recognition unit trained by the Harr-like pattern recognition algorithm, and good magnetic tiles and defective magnetic tiles are obtained. Two classifications, and finally output defect d...

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Abstract

The invention relates to a the machine vision detection field, and provides a method and a device for detecting magnetic tile surface defects through machine vision technology. The technical scheme of the method comprises the following steps: (1) placing a magnetic tile to be detected on a conveyer belt; (2) starting a CCD image acquisition device, acquiring a magnetic tile surface image and transmitting the image to an image processing unit; (3) processing the image acquired in (2) through image filtering, image segmentation, post-morphological processing, edge detection and the like by the image processing unit, transmitting the processed results to a defect detection unit; (4) performing feature extraction of the image processing results in (3) so as to transform the results into a one-dimensional data signal; (5) training and testing the results obtained in (4) by a probability mode identification unit, dividing magnetic tile surface quality into two classes: good magnetic tile and defective magnetic tile so as to reach the purpose of defect detection. The method and device have simple structures, are easy to maintain and expand, have high detection efficiency and low equipment investment.

Description

technical field [0001] The invention relates to a machine vision-based automatic detection method and device for surface defects of magnetic tiles, in particular to an automatic detection method for surface defects of magnetic tiles. technical background [0002] The magnetic tile is an important component of the motor, and its quality directly determines the performance of the motor. The magnetic tile with surface defects must be rejected during inspection. Due to the diversity and complexity of the defects of porcelain tiles and magnetic tiles (including cracks, collapse, unqualified chamfers, underwear, starting grades, stains, etc.), the research on its detection methods has not been substantive. At present, many manufacturers of magnetic tiles and magnetic tiles mainly rely on manual visual inspection. Due to the shortcomings of poor precision, low efficiency, and contact type, this inspection method cannot meet the needs of modern production operations. Contents of t...

Claims

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Application Information

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IPC IPC(8): G01N21/89
Inventor 严俊龙李铁源唐孟华谌杨帆吴志杰郑晓曦
Owner GUANGZHOU SHENGTONG QUALITY TESTING OF CONSTR
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