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A Printing Overprint Error Detection Method Based on Crosshairs

A technology of error detection and crosshairs, which is applied in the direction of printing, printing machines, general parts of printing machinery, etc., can solve problems such as difficult recognition by human eyes, and achieve high precision, strong accuracy, and strong anti-interference effects

Inactive Publication Date: 2017-03-15
XIAN KESAI IMAGE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These icons can avoid the complex situation of color overlapping in computer image recognition, and the color segmentation algorithm is simple, but this method is difficult for human eyes to recognize and different color scales need to be designed for different detection items and printing methods

Method used

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  • A Printing Overprint Error Detection Method Based on Crosshairs
  • A Printing Overprint Error Detection Method Based on Crosshairs
  • A Printing Overprint Error Detection Method Based on Crosshairs

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Embodiment Construction

[0036] Below in conjunction with accompanying drawing, the implementation of the present invention is described in detail:

[0037] Such as figure 1 and figure 2 Shown: a printing overprint error detection method based on crosshairs, including the following specific steps:

[0038] S1, extracting the outline of the crosshair figure

[0039] In order to extract the outline of cross-hair graphics, first convert the cross-hair color image into grayscale image, and then use the method of mathematical morphology to extract the morphological gradient from the gray-scale image, that is, the edge image of the cross-hair image. The formula for converting a color image to a grayscale image is as follows:

[0040] gray(x,y)=0.299×R(x,y)+0.587×G(x,y)+0.114×B(x,y)

[0041]Mathematical morphology is a mathematical tool for analyzing images based on morphological structural elements. Its basic idea is to use structural elements with a certain shape to measure and extract the correspond...

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Abstract

The invention discloses an overprinting error detection method based on a cross line. The overprinting error detection method comprises the following steps of S1, extracting the contour of a cross line graph; S2, calculating the length and width of a longitudinal line and a transverse line of a cross pattern; S3, calculating the overprinting error. The overprinting error detection method has the advantages that the width of a cross line overprinting label is calculated by a morphological method and a geometric differential method, so the overprinting error can be detected; the wide application range, close combining of actual conditions, high accuracy and high reliability are the keys to guarantee the high-efficiency, high-accuracy and high-precision overprinting error detection; the anti-interference capability is high, the precision is high, and the real-time property is good.

Description

technical field [0001] The invention relates to a method for detecting printing overprint errors, in particular to a method for detecting printing overprint errors based on cross lines. Background technique [0002] Accurate registration is the most basic requirement of modern printing technology. With the improvement of social production efficiency, the requirements for overprint deviation detection technology are getting higher and higher, and the disadvantages of traditional visual inspection are becoming more and more obvious, which cannot meet the actual requirements of printing technology. [0003] The continuous development of graphics and image technology has attracted widespread attention for its advantages in printing quality inspection. Using image processing technology to detect overprint deviation online has the advantages of high precision and high efficiency, and overcomes many shortcomings of traditional visual inspection. In the printing process, the detect...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B41F33/00
Inventor 彭定明
Owner XIAN KESAI IMAGE TECH