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

A Distorted Target Recognition and Judgment Method Based on Discrete Orthogonal Moments

A discrete orthogonal moment and target recognition technology, applied in the field of image recognition, can solve problems such as weak ability to resist external interference, and does not meet the requirements for target recognition and judgment of distorted images, achieving strong robustness and reducing the amount of calculation Effect

Active Publication Date: 2021-03-19
BEIJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Tchebichef moment is a discrete orthogonal moment, which does not have the common problems of the above-mentioned traditional continuous orthogonal moment, but the ability to resist external interference is relatively weak, and it does not meet the requirements of distorted image target recognition and judgment.

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
  • A Distorted Target Recognition and Judgment Method Based on Discrete Orthogonal Moments
  • A Distorted Target Recognition and Judgment Method Based on Discrete Orthogonal Moments
  • A Distorted Target Recognition and Judgment Method Based on Discrete Orthogonal Moments

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0067] Such as figure 1 As shown, the Krawtchouk moment-based distorted target recognition and determination method provided by the embodiment of the present invention includes the following steps:

[0068] S01, taking the image to be recognized as input, calculating the matrix form of the Krawtchouk moment of the image;

[0069] Among them, such as figure 2 As shown, the specific process of step S01 is:

[0070] S011, first calculate the matrix form of the Krawtchouk moment, input the image to be tested, the size is M*N pixels, and obtain the intensity matrix of M*N according to the intensity function;

[0071] S012. Calculate an M*M Krawtchouk weighted polynomial matrix and an N*N Krawtchouk weighted polynomial matrix according to the size of the image intensity matrix;...

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 a distortion target identification and judgment method based on discrete orthogonal moments, which comprises the following steps of inputting a distortion image to be detected,and identifying and judging a distortion target according to matrix transformation of the discrete orthogonal moments of the distortion image; and giving an optimal order reference value participating in calculation according to the image parameters. Experimental results show that the method has stronger robustness, and has advantages in the aspects of fuzzy object judgment and identification ofsimilar and complex objects under a distortion condition; and the given optimal order reference values suitable for the images of different sizes give consideration to the requirements of reducing thecalculation amount and improving the robustness, and have a very good matching effect with newly proposed parameters.

Description

technical field [0001] The invention belongs to the field of image recognition, in particular to a distorted target recognition and judgment method based on discrete orthogonal moments. Background technique [0002] Moment is used in statistics to characterize the distribution of random quantities. If the binary image or grayscale image is regarded as a two-dimensional density distribution function, the global characteristics of the image can be described by the moment feature. The moment set calculated from the image also provides a large number of geometric properties about the image, so it can describe each image comprehensively, accurately and differentially. Distortion widely exists in the process of image acquisition, transmission, storage, etc., and leads to the decline of image quality and the introduction of error information. Therefore, finding a matrix that can still describe the characteristics of the target object well under the condition of distortion has beco...

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 Patents(China)
IPC IPC(8): G06T7/00
Inventor 李俊晖孟阳罗斌吴国华
Owner BEIJING UNIV OF POSTS & TELECOMM
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