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

Image matching method

A matching method and image technology, applied in the field of image matching, can solve the problems of large amount of calculation and time-consuming matching process

Inactive Publication Date: 2009-10-14
GUANGDONG UNIV OF TECH
View PDF0 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the matching process is computationally intensive and takes a lot of time. The larger the template image or the larger the search range of the detection image, the time required is k 2 l 2 The multiple growth of , k and l are the multiples of the template image and the detection image respectively

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 matching method
  • Image matching method
  • Image matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention provides an image matching method, such as figure 1 As shown, it includes the following steps:

[0015] (1) Use the image collector to collect the image to be matched, and call out the template image from the image processor;

[0016] (2) The image to be matched and the template image are reduced by one time in both the width and height directions;

[0017] (3) Repeat step (2) until the matching image and template image reach the specified size, and use gray-scale normalized cross-correlation matching on the reduced image to obtain the best matching position (x, y);

[0018] (4) Return to the previous level of the image that has been doubled down and perform further matching at 9 search positions in the range of (2x-1~2x+1, 2y-1~2y+1) to obtain the new best Matching position (x, y);

[0019] (5) Repeat step (4) until you return to the first level image, that is, the original image, perform the final matching, and obtain the best matching position and m...

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 an image matching method, comprising the following steps: (1) collecting images to be matched by an image collector and extracting template images from an image processor; (2) reducing the images to be matched and template images by half in the directions of width and height; (3) repeating step (2) until the images to be matched and template images reach specified sizes and carrying out gray scale normalization cross correlation matching on the reduced images to obtain the optimal matching positions (x, y); (4) returning to the previous images which are reduced by half and carrying out further matching on 9 search positions within the range of ((2x-1)-(2x+1), (2y-1)-(2y+1)) to obtain new optimal matching positions (x, y); (5) repeating step (2) until returning to the primary image, namely the original image, and carry out final matching to obtain the optimal matching positions and matching values. The method features shorter matching time and smaller amount of calculation.

Description

Technical field [0001] The invention belongs to a graphics processing method, and particularly relates to an image matching method. Background technique [0002] With the development of science and technology, image matching has become a very important technology in the field of image information processing. Now about 40% of machine vision applications need to use image matching technology, the application areas involved range from industrial detection to missile terrain matching, optical and radar image tracking, automatic monitoring of industrial assembly lines, automatic monitoring of industrial instruments, resources Analysis, weather forecasting, medical diagnosis, traffic management, character recognition and image retrieval, etc. Image matching research involves image acquisition, image preprocessing, image segmentation, feature extraction, etc., and is closely integrated with computer vision, multi-dimensional signal processing and numerical calculation methods. It is als...

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): G06T7/00
Inventor 程良伦江伟欢衷柳生陈伟陈聪传
Owner GUANGDONG UNIV OF TECH
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