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

Image retrieval method based on symbiotic SURF feature

An image retrieval and image technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of not studying the spatial relationship of multiple SURF features

Inactive Publication Date: 2018-12-07
LIAOCHENG UNIV
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method focuses on a single SURF feature, and does not study the spatial relationship of multiple SURF features in the image.

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 retrieval method based on symbiotic SURF feature
  • Image retrieval method based on symbiotic SURF feature
  • Image retrieval method based on symbiotic SURF feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined in the present application.

[0041] This embodiment adopts an image retrieval method based on symbiotic SURF features, and the specific implementation steps are as follows:

[0042] 1. Extract co-occurrence SURF features from the database image and the image to be retrieved respectively.

[0043] In the offline processing process, for the image library I=(I 1 , I 2 ,…I i ..., I N The database image I in ) i , the extracted symbiotic SURF...

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 retrieval method based on symbiotic SURF features in the technical field of computer image processing and pattern recognition. The method includes: firstly, detectinglocal features of a database image and an image to be retrieved, extracting a symbiotic SURF feature from each image, and then quantifying the symbiotic SURF features extracted from the database imageand the image to be retrieved, generating symbiotic visual phrases, and then creating a multi-dimensional inverted index according to the symbiotic visual phrases in the database images, in the inverted index, using the symbiotic visual phrases of the images to be retrieved for similarity searching to find the candidate database images, finally, judging the consistency of the main direction between the images to be retrieved and the candidate database images, and providing the final image retrieval results. The method improves the retrieval accuracy under the condition of guaranteeing the retrieval efficiency.

Description

technical field [0001] The invention mainly relates to the technical fields of computer image processing and pattern recognition, in particular to an image retrieval method based on symbiotic SURF features. Background technique [0002] In the current information age, the collection, acquisition and transmission of images are faster and more convenient, the content of images is richer and more diverse, and the number of images has also shown explosive growth, which has caused people to pay more and more attention to the storage, organization and search of massive images. . In real life, how to quickly and accurately query the most useful information in massive images has become one of the hot research topics. [0003] Image retrieval technology refers to searching in a large-scale image database and finding relevant images that meet the requirements based on text information or image content information. Image retrieval technology is divided into text-based retrieval metho...

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): G06F17/30
Inventor 冯德瀛徐戈杨程穆健
Owner LIAOCHENG 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