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Non-continuity lithium battery thin film defect detection method and device based on machine vision

A machine vision, film defect technology, applied in the direction of optical testing flaws/defects, etc.

Active Publication Date: 2014-01-08
LINGTONG EXHIBITION SYST
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] For lithium battery films that are discontinuous and have aluminum films at intervals, if the conventional detection algorithm for continuous film defects is used, the aluminum film part will be judged as a film defect, resulting in misjudgment

Method used

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  • Non-continuity lithium battery thin film defect detection method and device based on machine vision
  • Non-continuity lithium battery thin film defect detection method and device based on machine vision
  • Non-continuity lithium battery thin film defect detection method and device based on machine vision

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Embodiment 1

[0084] The non-continuous lithium battery film defect detection method based on machine vision of the present invention comprises the following steps:

[0085] The threshold judgment method realizes the extraction of the continuous defect-free film from the discontinuous defect-free film by step 1, and the construction of the template feature value of the continuous defect film is realized by step 2.

[0086] Step 1, using the threshold judgment method to realize the extraction of continuous and defect-free films from discontinuous and defect-free films;

[0087] Step 1.1, set the parameters of the industrial camera for capturing clear images;

[0088] Step 1.2, using an industrial camera to shoot a non-continuous non-defective film, and sending the obtained standard image to the computer;

[0089] Step 1.3, performing grayscale processing on the standard image;

[0090] Step 1.4, performing 3×3 median filtering on the standard image after grayscale processing;

[0091] Step ...

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Abstract

The invention relates to the technical field of conducting on-line detection through the machine vision and image processing technology, mainly relates to a method for conducting on-line detection on the non-continuity lithium battery thin film defects through a machine vision system and provides a non-continuity lithium thin film defect on-line detection method based on the machine vision. A grey level mutational point is obtained through adjacent grey level point difference method of three horizontal scanning lines, and therefore a continuity thin film section is determined; an optimal threshold value algorithm is used for achieving the binarization segmentation of a grey level image, a reversing large area defecting method is used for the binarization image to position a defective target, the geometrical and projection characteristics of the defects are extracted to be used as identification parameters, and finally the minimum Euclidean distance is used for achieving the rapid identification and classification of the defect target.

Description

Technical field [0001] The invention relates to the technical field of on-line detection by using machine vision and image processing technology, and mainly relates to a method for on-line detection of discontinuous lithium battery film defects by using a machine vision system on site at a lithium battery coating machine. Background technique [0002] Traditional lithium battery film surface quality inspection is realized through manual online visual inspection and offline finished product sampling inspection, which is only suitable for small-scale production occasions. Manual detection uses subjective impression as the detection standard, and it is difficult to achieve the consistency of detection between different products in the horizontal direction and at different times in the vertical direction. In addition, it is limited by the detection speed and sampling frequency, as well as the human visual sensitivity and resolution. The product quality of manual inspection is di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
Inventor 陈功朱锡芳许清泉杨辉徐安成
Owner LINGTONG EXHIBITION SYST
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