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An automatic detection method for printed matter defects based on machine vision

An automatic detection and machine vision technology, applied in the field of printing, can solve the problems of slow matching of printed images and inaccurate detection, and achieve the effects of fast image matching, high matching accuracy, and improving accuracy and efficiency.

Active Publication Date: 2020-04-21
江苏省朗晖实业发展有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for automatic detection of printed product defects based on machine vision, which solves the problems of slow matching of printed images and inaccurate detection in the prior art

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  • An automatic detection method for printed matter defects based on machine vision
  • An automatic detection method for printed matter defects based on machine vision
  • An automatic detection method for printed matter defects based on machine vision

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Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] Such as figure 1 As shown, a method for automatic detection of printed matter defects based on machine vision of the present invention adopts a convex shape matching method, first registers the collected qualified printed matter images; then forms an average image by these registered qualified printed matter images , bright template image and dark template image; finally, using the shape convexity matching method, the print image to be detected and the average image are registered, and the pixels in the image to be detected that are higher than the bright template image or lower than the dark template image are marked as defects points, remove isolated defect points, and fuse discrete defect regions.

[0032] A convex shape matching method, comprising the following steps:

[0033] Step a: Sampling the feature points on the contour of...

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Abstract

The invention discloses a method for automatically detecting the defects of printed matters based on machine vision. The method comprises the following steps of firstly, adopting a convex shape matching method to carry out registration on the images of collected and qualified printed matters; then, forming an average image, a bright template image and a dark template image by means of the images of the qualified printed matters subjected to registration; finally, adopting the convex shape matching method to carry out registration on the image of a printed matter to be detected and the average image, marking the pixels, which are higher than the bright template image or lower than the dark template image, in the image to be detected as defect points, removing the isolated defect points and fusing discrete defect areas. According to the method for automatically detecting the defects of the printed matters based on machine vision, the convex shape matching method has the advantages of being rapid in image matching speed and high in matching precision; the designed defect detection method based on the bright template image and the dark template image is high in adaptability and can effectively detect the defects in the printed matters; the method provided by the invention can improve the accuracy and efficiency of a whole detection system.

Description

technical field [0001] The invention belongs to the technical field of printing, and in particular relates to a machine vision-based automatic detection method for printed matter defects. Background technique [0002] With the rapid development of modern printing presses, the printing speed is getting faster and faster, once a printing defect occurs, it will cause a lot of waste. On the other hand, high-speed printing makes it impossible to rely on manual monitoring of print quality. Therefore, printing companies urgently need an efficient and fully automatic print quality inspection system based on machine vision. [0003] In the defect detection method of printed matter based on machine vision, it involves the construction of standard templates, image matching and defect judgment. Since there is always a certain difference between qualified images in printing, the standard template constructed in the existing method is not flexible enough, and it is easy to cause false d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/89
CPCG01N21/8914G01N2021/8917
Inventor 张二虎高敏段敬红
Owner 江苏省朗晖实业发展有限公司
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