Image reconstruction method and system for distorted color direct component marking

A component marking and image reconstruction technology, applied in image analysis, graphics and image conversion, image data processing, etc., can solve problems such as distortion, uneven color of marking modules, uneven marking depth and texture size, etc., and achieve fast and accurate positioning , Improve readability, improve the effect of module color changes

Active Publication Date: 2021-03-02
SHANDONG UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, in the actual laser processing process, there are also some challenging problems, such as the phenomenon of uneven color in the marking module, and the different marking depth and texture of different marking modules in the same barcode.
At the same time, w

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
  • Image reconstruction method and system for distorted color direct component marking
  • Image reconstruction method and system for distorted color direct component marking
  • Image reconstruction method and system for distorted color direct component marking

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0061]Example one

[0062]This embodiment discloses an image reconstruction method for distorted color direct component marking,figure 1 This is a flowchart of an image reconstruction technique for distorted color direct component marking according to an embodiment of the present disclosure.

[0063]The specific content is as follows:

[0064]S1: Such asfigure 2 As shown, the collected laser-marked color Data Matrix barcode image is loaded, and the following preprocessing steps are performed in sequence: the L solid edge vertex of the barcode is located in the lower left corner of the image, the image is grayed using the weighted average method, and the Sauvola algorithm is used Binarize the grayscale image, use the Canny operator to detect the boundaries of the binarized image, and use the Hough transform to detect straight lines in the image;

[0065]S2: Detect the four vertices of the color Data Matrix barcode, the steps are as follows:

[0066]Such asimage 3 As shown, ρ is the vertical vector ...

Example Embodiment

[0085]Example two

[0086]The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, the specific steps in the first embodiment are implemented. step.

Example Embodiment

[0087]Example three

[0088]The purpose of this embodiment is to provide a computer-readable storage medium.

[0089]A computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, it executes the specific steps in the first embodiment.

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 provides an image reconstruction method for distorted color direct component marking, and the method comprises the steps: loading a collected color bar code image, and carrying out the preprocessing of the image; determining four vertexes of the laser marked color bar code based on the structural features of the bar code, and extracting the color bar code after distortion correction;clustering the two channels of the color bar code image according to colors, and calculating the mean value of the last channel value of each clustering area to serve as the last channel value of each clustering center, thereby recognizing the processing color of the bar code; reconstructing the color bar code; performing error correction on the edge finding area of the reconstructed bar code according to the structural features of the bar code, and completing color bar code reconstruction after error correction. According to the invention, the problems of bar code deformity caused by an image acquisition system and module color change and different sizes caused by laser marking are solved, and the readability of color direct component marking is greatly improved.

Description

technical field [0001] The disclosure belongs to the technical field of direct component marking, and in particular relates to an image reconstruction method and system for distorted color direct component marking. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Direct part marking technology is a product information identification technology that directly marks machine-readable symbols (such as DataMatrix barcodes) on the surface of industrial product parts. Compared with traditional printed labels, direct part marking is a permanent mark, has high durability, and is more adaptable to complex and changeable industrial production environments. It is an effective method to promote industrial product parts to achieve product life cycle tracking. The main methods to achieve direct component marking technology include laser marking, mechanic...

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
IPC IPC(8): G06K7/14G06K9/62G06T3/00G06T7/11G06T7/13G06T11/40
CPCG06K7/1473G06T7/11G06T7/13G06T3/0006G06T11/40G06F18/23
Inventor 李建美耿影廖利城刘福康
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap