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

High-speed dynamic QR code identification method based on improved SURF composite algorithm

A technology of dynamic two-dimensional code and identification method, applied in the field of dynamic detection and QR code identification, can solve the problems of confusion of foreground point and background point detection, low real-time performance of motion compensation, distortion of two-dimensional code image, etc. effect of value, reduced computation, reduced loss

Active Publication Date: 2019-09-06
WUHAN INSTITUTE OF TECHNOLOGY
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a high-speed dynamic two-dimensional code recognition method based on the improved SURF composite algorithm, which can effectively improve the problem of poor timeliness when AGV detects and recognizes two-dimensional codes during high-speed movement: including detection of foreground points and background points when the camera is moving Confusion, low real-time performance of motion compensation, and high-speed motion lead to the distortion of the collected QR code image and make it difficult to recognize and read

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
  • High-speed dynamic QR code identification method based on improved SURF composite algorithm
  • High-speed dynamic QR code identification method based on improved SURF composite algorithm
  • High-speed dynamic QR code identification method based on improved SURF composite algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be described in detail below in conjunction with specific drawings and embodiments.

[0046] combine figure 1 , a kind of high-speed dynamic two-dimension code identification method based on the improved SURF composite algorithm proposed by the present invention, the steps are as follows:

[0047] S1: Collect images, use the phase correlation algorithm, Harris corner detection and SURF feature point matching algorithm to estimate and compensate the global motion of the image under the dynamic background, and obtain a stable image sequence.

[0048] Two adjacent frames of images collected, as shown in Figure 2(a) and (b), obtain a Dirac function by calculating the inverse Fourier transform of the cross-power spectrum for them, and then find the coordinates corresponding to the peak point of the function to obtain The registration points we require are used to preliminarily determine the phase-related part of the image. Use the position of the...

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 belongs to the field of dynamic detection and QR code recognition, and provides a high-speed dynamic QR code identification method based on an improved SURF composite algorithm. The high-speed dynamic QR code identification method includes the steps: after images are acquired, carrying out preliminary matching and motion compensation by using a phase correlation algorithm; carrying out matching verification on the image with good related performance by adopting a Harris feature point detection method in combination with an SURF feature descriptor, constructing a motion model by utilizing a six-parameter affine motion parameter model, and completing motion estimation and compensation to completely extract a motion target; after a target image is preprocessed, using an improvedCanny algorithm to combine with Hough straight line detection to determine the vertex of a graph, correcting image distortion, performing image smoothing by using median filtering, and using a four-threshold method to accurately divide edge information; and finally, identifying a QR code. The high-speed dynamic QR code identification method has the advantages that the moving target detection precision is high; the operation speed is high; and the recognition influence caused by various working conditions can be overcome.

Description

technical field [0001] The invention relates to the fields of dynamic detection and QR code recognition, in particular to a method for moving object detection and two-dimensional code recognition and decoding under the background of high-speed motion. Background technique [0002] Moving object detection is widely used in video surveillance, robot navigation and other fields. Moving object detection in dynamic background aims to eliminate background motion through motion estimation and compensation technology, and transform the problem into moving object detection in static background. The most commonly used motion compensation method is to use the feature matching algorithm to determine the matching feature points of images in consecutive frames, and perform motion compensation on the calculated motion vectors, but the motion estimation under this method is prone to produce more error point pairs during matching. , and it takes a lot of time, so it is not suitable for occas...

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): G06K17/00G06T7/246
CPCG06K17/0025G06T7/246
Inventor 芦姝冰于宝成艾玉明郭然郭锴杨士团熊永燚
Owner WUHAN INSTITUTE OF TECHNOLOGY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com