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

Improved image registration method based on continuous domain ant colony algorithm

An ant colony algorithm and image registration technology, applied in the field of image processing, can solve the problem of insufficient registration accuracy

Active Publication Date: 2020-12-11
GUANGDONG UNIV OF TECH
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the technical defect that the registration accuracy of the current image registration method is not high enough, the present invention provides an improved image registration method based on continuous domain ant colony algorithm

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
  • Improved image registration method based on continuous domain ant colony algorithm
  • Improved image registration method based on continuous domain ant colony algorithm
  • Improved image registration method based on continuous domain ant colony algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Such as figure 1 As shown, an improved image registration method based on continuous domain ant colony algorithm, including the following steps:

[0063] S1: Determine the template image and the sensing image;

[0064] S2: extract the graphic outline of the template image, and obtain the set T of template pixel points;

[0065] Extracting the graphic outline of the sensing image to obtain the search pixel set E;

[0066] S3: Quantify the similarity between T and E;

[0067] S4: Segment the template image to generate a region of interest;

[0068] S5: Match the region of interest with the sensing image, and use the continuous domain ant colony algorithm to find the measure with the largest similarity to achieve image registration.

[0069] In the specific implementation process, the similarity of the pixel point set is quantified, and then the continuous domain ant colony algorithm is used to find the measure with the largest similarity, so as to realize the registra...

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 improved image registration method based on a continuous domain ant colony algorithm. The improved image registration method comprises the following steps: S1, determining atemplate image and a sensing image; s2, extracting a graphic contour of the template image to obtain a template pixel point set T; extracting a graphic contour of the sensing image to obtain a searchpixel point set E; s3, quantifying the similarity between T and E; s4, segmenting the template image to generate a region of interest; and S5, matching the region of interest with the sensing image, and finding out the measurement with the maximum similarity by adopting a continuous domain ant colony algorithm to achieve image registration. According to the improved image registration method basedon the continuous domain ant colony algorithm, the similarity of the pixel point set is quantified, then the continuous domain ant colony algorithm is adopted to find the measure with the maximum similarity, registration of the segmented template image and the sensing image is achieved, the registration precision is improved on the premise that the registration speed is guaranteed, and problem that an existing image registration method is not high enough in registration precision is solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, to an improved image registration method based on continuous domain ant colony algorithm. Background technique [0002] Printed circuit board (PCB) is very important to electronic products. It is an integral part of electronic circuits and a carrier of various electronic components. Circuit boards provide support and electrical connections for components in electronic products, and their quality directly affects the quality of products. In 2018, the PCB output value produced in mainland China accounted for 55.7% of the world's total, maintaining high growth (up to 7.7%), ranking first in the world. The rapid development of modern electronics industry, communication industry, Internet industry and manufacturing industry requires the production of higher quality printed circuit boards. With the miniaturization of electronic products and the improvement of c...

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): G06T7/33G06T7/13G06T7/66G06N3/00
CPCG06T7/33G06T7/13G06T7/66G06N3/006G06T2207/10004G06T2207/20076G06T2207/20081G06T2207/30141Y02D10/00
Inventor 杨海东朱成就徐康康印四华李凡胡罗克
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