Image matching method based on gradient magnitude random sampling

A technology of random sampling and gradient amplitude, which is applied in the direction of computer components, instruments, characters and pattern recognition, etc., and can solve the problem of inaccurate positioning of the target area

Active Publication Date: 2021-05-18
CHENGDU TECH UNIV
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides an image matching method based on gradient amplitude random sampling, which solves the problem of inaccurate positioning of the target area in vision-based product detection

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 based on gradient magnitude random sampling
  • Image matching method based on gradient magnitude random sampling
  • Image matching method based on gradient magnitude random sampling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0041] The basic idea of ​​the invention is to establish a template for image matching according to the visual image collected by the industrial camera, and use the characteristic that the image distribution obeys the Gaussian distribution. In the gradient amplitude image, the Gaussian distribution is used to randomly sample the amplitude points. A good substitute for the features of the original image.

[0042] By formulating th...

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 discloses an image matching method based on gradient magnitude random sampling, and the method comprises the following steps: s1, intercepting a region of interest for a target detection image, and obtaining a first template image; s2, preprocessing the first template image to obtain a binary string of template image sampling point pairs; s3, moving pixel points of the to-be-matched image by a step length, and generating a binary string of sampling point pairs of the to-be-matched image from the moved to-be-matched image according to the method in the step S2; s4, obtaining the position of the minimum distance in the target detection image according to the minimum distance between the binary string of the to-be-matched image sampling point pair and the binary string of the template image sampling point pair; s5, mapping the position of the minimum distance in the target detection image to the target detection image by adopting the sampling relation of the image pyramid to obtain an accurate target position, and ending the matching. According to the invention, the problem of inaccurate accurate positioning of the target area in vision-based product detection is solved.

Description

technical field [0001] The present invention relates, in particular, to an image matching method based on gradient amplitude random sampling. Background technique [0002] In product defect detection using visual images, the detection area needs to be positioned first. Since the production line is in motion, and the on-site lighting may also be affected by the environment, certain changes may occur. Therefore, there are certain differences in the images taken during each detection. This difference leads to the possibility that the positioning accuracy of the detection area may not meet the actual detection requirements. In addition, when the product is in the state of online motion, there may be a certain angle of rotation, which may also lead to insufficient positioning accuracy. As an important step in the image preprocessing stage of visual inspection, accurate positioning of the detection area has a crucial impact on the accuracy of visual inspection in the later stag...

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): G06K9/32G06K9/46G06K9/62
CPCG06V10/25G06V10/44G06V10/751
Inventor 王强彭悦蓉丁超田亚铃
Owner CHENGDU TECH 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