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Method for detecting scratch defects of printing product

A technology of defect detection and printed matter, applied in the field of image processing, to achieve the effect of high detection efficiency and high detection accuracy

Inactive Publication Date: 2014-04-30
HUNAN CHUANGYUAN INTELLIGENT TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

(3) Cross-correlation matching method, which is to find the cross-correlation coefficient of the image to be tested relative to the standard image for detection. This method has strong adaptability, but is also susceptible to registration accuracy and noise.

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  • Method for detecting scratch defects of printing product
  • Method for detecting scratch defects of printing product
  • Method for detecting scratch defects of printing product

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Embodiment Construction

[0051] In order to make the technical means, creative features, work flow, and use methods of the present invention achieve the purpose and effect easily understood, the present invention will be further described below in conjunction with specific embodiments.

[0052] refer to figure 2 , image 3 As shown, the embodiment of the present invention performs an initialization operation in advance, that is, collects an image to be grayed out, and then uses the PCNN method to segment the image.

[0053] Pulse coupled neural network (PCNN) is a feedback network composed of several neurons interconnected, each neuron

[0054] Including three parts: acceptance area, modulation area and pulse area. The receptive area accepts input from external stimuli and other neurons: where F ij is the feedback input of the neuron; S ij Input signal for the stimulus (such as the gray value of the image); L ij is the input of other neurons connected to the neuron under the synaptic connection ...

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Abstract

The invention discloses a method for detecting scratches of a printing product. The method comprises the following steps of: partitioning off a scratch region by a PCNN (pulsed coupled neural network) method according to the difference in pixel values of a scratch defect region and a background region of the printing product as well as the ignition condition of nerve cells corresponding to pixels as well as adjacent nerve cells; and finally obtaining a scratch binary image according to the difference between the partitioned standard image and the binary image of an image to be detected so as to detect the scratch defects of the printing product. The scratch defect detection technology for the printing product has the advantages of higher detection efficiency and higher detection accuracy. In the method, scratch detection can be well performed by virtue of image entropy and a PCNN image segmentation algorithm, thus the scratch detection accuracy for the printing product is greatly improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting scratches on printed matter. Background technique [0002] Due to the imperfect printing technology, various defects often appear in the printing process. Taking cigarette labels as an example, common defects include smudges caused by flying ink; ghost images caused by inaccurate printing colors; embossed parts and corresponding patterns Or embossing defects caused by misalignment of text and scratches caused by machines or human reasons. At present, the quality inspection of printed matter is mainly carried out by visual inspection in China. This method is inefficient, expensive, highly subjective, and has a high error rate. Using computer vision detection to replace the existing manual detection method is a hot research topic at home and abroad. [0003] At present, the methods for scratch detection of printed matter are mainly divided into th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 夏东
Owner HUNAN CHUANGYUAN INTELLIGENT TECH
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