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

A Graphic Image Recognition and Matching Method Based on Genetic Programming Algorithm of New Coding Method

A technology of genetic programming and coding, applied in the field of graphic image recognition and matching, which can solve the problem of inability to label label information with image information.

Inactive Publication Date: 2017-02-15
XIDIAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the development of the times, it is impossible to accurately label the image information with label information
Thus, text-based image matching has its own limitations

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 Graphic Image Recognition and Matching Method Based on Genetic Programming Algorithm of New Coding Method
  • A Graphic Image Recognition and Matching Method Based on Genetic Programming Algorithm of New Coding Method
  • A Graphic Image Recognition and Matching Method Based on Genetic Programming Algorithm of New Coding Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] figure 1 It is a flowchart of the present invention. The invention provides a graphic image recognition and matching method based on a genetic programming algorithm of a new coding mode, comprising the following steps:

[0036] (1) Initialize the crossover probability P c , the mutation probability P m , the population size Pop size , change the step-length factor s, and the number of iterations gen; select half of the images in the image library as the training set of the matching model, and the rest as the testing set of the matching model;

[0037](2) Using the method of "combined moments" of image features, train the images in the training set to generate an image feature library; encode according to the features in the feature library, and initialize the population;

[0038] (3) Calculate the fitness of individuals in the population, retain individuals with high fitness, and perform selection, crossover and mutation operations on the retained individuals;

[0...

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 technical field of image processing, and specifically discloses a graphic image recognition and matching method based on a genetic programming algorithm of a new coding method, the purpose of which is to obtain more suitable features in image matching through the new algorithm to improve image recognition and matching retrieval Accuracy. The steps include: (1) parameter setting, population initialization and selection of matching methods; (2) calculation of population fitness and genetic operations including crossover, mutation, self-crossover, and self-exchange operations; (3) optimizing individuals after genetic operations, Carry out local search; (4) further optimize the population, and judge whether the evolution is terminated; (5) decode the individual tree, get the way of extracting new features, and obtain new image features; (6) for new image features, according to the set Matching method, the output image matching model. The training model generated by the invention can effectively improve the accuracy of image recognition and matching.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a graphic image recognition and matching method based on a genetic programming algorithm of a new coding mode, which can be applied to digital image retrieval. Background technique [0002] Visual or image information is the main way for humans to receive information, including images, graphics, animations, videos, texts, etc., which are the most effective and important ways of obtaining and communicating information. With the emergence of a large amount of information, people increasingly need to use computers to assist in the acquisition and processing of image information. Therefore, image processing, image analysis and image understanding have become important contents of computer science research. [0003] Image matching can be divided into content-based and text-based. Text-based image matching technology to add relevant tags to each image. When matching, the co...

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): G06F17/30G06K9/64G06K9/66G06N3/12
CPCG06F16/50G06N3/126G06V10/75G06V30/194
Inventor 刘若辰焦李成朱彬彬马晶晶马文萍张向荣王爽刘静
Owner XIDIAN UNIV
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