Hub model retrieval method, storage medium and equipment

A hub and model technology, applied in the field of image recognition, can solve the problems of inability to accurately and efficiently realize image retrieval, complex calculation process, etc., and achieve the effect of reducing the amount of retrieval calculation, simplifying the retrieval process, and improving retrieval efficiency.

Pending Publication Date: 2022-01-14
广州引力波信息科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, currently there is no retrieval specifically for wheel hub images, and other image retrieval methods have some shortcomings, mainly due to the complexity of the calculation process and the inability to accurately and efficiently realize image retrieval

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
  • Hub model retrieval method, storage medium and equipment
  • Hub model retrieval method, storage medium and equipment
  • Hub model retrieval method, storage medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] The terms "first", "second", etc. (if any) in the description and claims and the above drawings are used to distinguish similar objects and not necessarily to describe a specific order or sequence. It should be understood that such use Data are interchanged where appropriate so that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as...

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 hub model retrieval method. The hub model retrieval method comprises the following steps: receiving a to-be-retrieved first hub picture; acquiring first feature information according to the first hub picture; obtaining a first view of each hub model according to all hub models in a model database; acquiring second feature information of each hub model according to the first view; and sorting all hub models according to the first feature information and the second feature information. The invention further discloses a picture retrieval storage medium and equipment. According to the first feature information of the first hub picture, the second feature information of the first view is compared, the pictures in the hub model database are listed and retrieved, the process is simple, the accuracy of hub graph similarity judgment is improved, the calculated amount of the picture database is effectively reduced, and the purposes of saving cost and improving retrieval efficiency are achieved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a wheel hub model retrieval method, storage medium and equipment. Background technique [0002] Image retrieval has developed rapidly in the past ten years. It uses computers to analyze images, establish image feature descriptions and store them in image feature databases. When users input a query image, the same feature extraction method is used to extract the features of the query image. Get the query information, then calculate the similarity of each feature in the query feature library under a certain similarity measurement criterion, and finally sort according to the similarity and output the corresponding pictures in sequence. However, currently there is no retrieval specifically for wheel hub images, and other image retrieval methods have some shortcomings, mainly due to the complicated calculation process, which cannot accurately and efficiently realize image re...

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): G06F16/532G06F16/583
CPCG06F16/532G06F16/5838G06F16/583
Inventor 赵俊杰李亚龙
Owner 广州引力波信息科技有限公司
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