Supercharge Your Innovation With Domain-Expert AI Agents!

Fast field tire trace pattern retrieval algorithm

A search algorithm and tire pattern technology, applied in computing, computer parts, special data processing applications, etc., can solve problems such as algorithms only support, algorithms that do not support large sample databases, and strong interference conditions are not fully considered, and achieve good search results

Active Publication Date: 2014-07-30
DALIAN EVERSPRY SCI & TECH
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Although some achievements have been made in tire track pattern retrieval at home and abroad, there are still many problems in practice: the existing algorithms only support ideal image retrieval, do not fully consider various strong interference conditions on site, and do not support large sample databases. Algorithm

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
  • Fast field tire trace pattern retrieval algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Such as figure 1 As shown, the retrieval is obtained by comparing two images. Therefore, it is necessary to read the inventory image, that is, to obtain the database image, perform scale normalization processing based on a certain scale factor, and calculate the various angles of the inventory image. Direction energy, and sort to find the frequency energy value and direction of its main frequency, and then store the data, read the image to be tested accordingly and perform scale normalization processing based on the same scale factor, and calculate the energy of each angle direction of the image to be tested , and sort to find the frequency energy value and direction of its main frequency. The features of the previously stored stock image, that is, the database sample, are read and compared with the features of the image to be tested, that is, the feature of the sample to be tested.

[0024] A fast on-site tire trace pattern retrieval algorithm of the present invention...

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 provides a fast field tire trace pattern retrieval algorithm. Characteristics of a to-be-tested image is analyzed first, and the image is preprocessed; the characteristics that have the rotating, zoom and shift invariant performance, and satisfy the certain noise immunity and slight defect invariant performance of stock images and the to-be-tested image are selected within the margin of algorithm errors; finally the selected characteristics are combined to operate characteristic query. The fast field tire trace pattern retrieval algorithm considers both the whole and local characteristic query strategies, has the rotating, zoom and shift invariant performance, is insensitive to noise, has the obvious advantage in terms of classified query, and obtains a good query result when a test is operated based on a large sample data base. Particularly, the query result is better aimed at the field tire trace pattern retrieval algorithm which is lower in contrast ratio, larger in fragment, and distorted.

Description

technical field [0001] The invention relates to a retrieval algorithm, in particular to a fast on-site tire trace pattern retrieval algorithm, belonging to the field of tire trace retrieval methods. Background technique [0002] As the "fingerprint" of vehicles, the tire track pattern and details will have a place in public security and forensic science in the future, and will be of great significance to the handling of road traffic accidents and the identification of accident responsibilities. At present, there are four main automatic tire pattern retrieval technologies: transform domain-based tire pattern retrieval, feature-based tire pattern retrieval, artificial neural network-based tire pattern retrieval, and image segmentation-based tire pattern retrieval. In addition, some foreign researchers have established a traffic accident detection system and a vehicle body information database, and proposed a text-based tire trace retrieval technology. The premise of this techn...

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): G06F17/30G06K9/64G06K9/46
CPCG06F16/5838
Inventor 王新年何晓光李博
Owner DALIAN EVERSPRY SCI & TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com