Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Real-time circular printing image defect detecting method

A defect detection and image printing technology, applied in the field of image processing, can solve the problems that restrict the improvement of algorithm efficiency, achieve the effect of improving performance and speed, avoiding calculation process, and overcoming rotation angle

Active Publication Date: 2015-06-03
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The calculation accuracy and speed of the rotation angle, the rotation operation of the image seriously restricts the improvement of the algorithm efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time circular printing image defect detecting method
  • Real-time circular printing image defect detecting method
  • Real-time circular printing image defect detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings, taking beer bottle cap defect detection as an example. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] figure 1 It shows a flow chart of the implementation of the circular printing image defect detection method provided by the embodiment of the present invention.

[0034] The concrete steps of the detection method that the embodiment of the present invention provides are as follows:

[0035] 1. Obtain the standard circular printing template image (hereinafter referred to as the template image) and the online circular ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of processing of images, in particular to a real-time circular printing image defect detecting method. The method comprises the following steps: a standard template graph and an on-line real-time graph of a target to be detected, obtaining a circle point coordinate through an exponential changing and searching step-length method, calculating a circle center and semi-diameter of a circular area of each of the standard template graph and the on-line real-time graph according to a method for positioning a circle through three points, dividing each circular area into a large quantity of annular areas, counting characteristics of grey level histograms of the annular areas, and comparing the characteristics of the grey level histograms of the annular areas of the standard template graph and the on-line real-time graph to complete image defect detection. Through the adoption of the real-time circular printing image defect detecting method, the circular printing image defection speed is improved from two aspects; a practicable method is provided for on-line defect detection based on machine vision.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a real-time circular printing image defect detection method. Background technique [0002] With the development of industrial technology, the production of products has basically realized assembly line operation. The production speed of circular printed matter such as bottle caps, badges, etc. is generally fast, but due to random errors in equipment, parts, etc., some products may be defective. In order to improve the qualified rate of products and the degree of automation of industrial production, there is an urgent need for a printing defect detection method that can be realized in real time. From the perspective of image matching, the present invention judges whether there is a printing defect in a real-time photographed product according to the similarity between the online real-time image and the standard template image. [0003] There is generally any rotation bet...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/001G06T2207/10004G06T2207/30144
Inventor 刘云鹏夏仁波惠斌王学娟王永超王喆鑫
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products