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

Automobile logo sample training and recognition method based on air-inlet grille positioning

An air intake grille and sample training technology, applied in the field of computer vision, can solve the problems of difficult template matching, difficult to guarantee the accuracy of vehicle logo recognition, and inconspicuous gradient information in the processing process, which is conducive to recognition, flexible expansion and update. Effect

Inactive Publication Date: 2014-11-19
叶茂
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to solve the problems in the existing and background technology of car logo recognition methods, such as the difficulty in guaranteeing the accuracy of car logo recognition, the difficulty of template matching, and the indistinct gradient information in the processing process. Positioning car logo sample training and recognition method

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
  • Automobile logo sample training and recognition method based on air-inlet grille positioning
  • Automobile logo sample training and recognition method based on air-inlet grille positioning
  • Automobile logo sample training and recognition method based on air-inlet grille positioning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0068] a. In this embodiment, different car brands such as Jeep, BMW, Chevrolet, and other subordinate cars of Jeep Freebus, BMW X5, Chevrolet Cruz, etc. are taken to take samples of the air intake grille, taking into account that the air intake grilles are symmetrical Therefore, only half of the air intake grille sample is intercepted. The air intake grille sample intercepts a square area and converts it into a grayscale image. Such as Figure 3-1 Sample of Jeep intake grille, Figure 3-2 For the BMW grille sample, Figure 3-3 It is a sample of Chevrolet grille. b. The air intake grille samples in step a are classified according to automobile brands, and the sample sets of various brands of air intake grille are respectively normalized and processed, and the air intake grille samples are unified to 50*50 pixels. c. Perform Gabor wavelet transform on various brand intake grille samples in step b. In this embodiment, according to the following algorithm, Gabor filtering is perfo...

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 automobile logo sample training and recognition method based on air-inlet grille positioning. The training process comprises the following steps: a, obtaining air-inlet grille samples of different automobiles and converting the samples to grayness images; b, classifying the air-inlet grille samples obtained in the step a according to automobile brands, and respectively performing normalization gauge processing on various sample sets to enable the air-inlet grille samples to be unified to the same size; c, conducting Gabor function conversion on the various samples obtained in the step b to perform size conversion and rotation transformation to obtain a Gabor wavelet expression. The automobile logo sample training and recognition method has the following benefits: 1, the automobile air-inlet grille, rather than the automobile logo, is adopted as the identification target, so that more effective image information is guaranteed for identification of automobile brands; 2, the Gabor wavelet conversion is utilized to keep texture information in each direction of the air-inlet grille; 3, the template library for classifying provided by the invention has an elastic structure, so that flexible expansion and update can be realized.

Description

Technical field [0001] The invention belongs to the technical field of computer vision, and relates to a vehicle logo recognition method, and in particular to a vehicle logo sample training method based on car intake grid positioning and a vehicle logo automatic recognition method based on the sample training. Background technique [0002] With the development of the economy and the increase of people’s income, cars have entered the lives of more and more families and individuals. Due to their convenient and flexible mobility, cars have gradually become the preferred means of transportation for people to travel. People’s demand for cars has promoted With the development of the automobile industry, competition in the automobile market has become increasingly intense. [0003] When purchasing a car, mass consumers consider the safety, performance configuration, price and other factors of the car while also focusing on the appearance of the car. Consumers’ demand for automobiles has ...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 叶茂蔡小路谢易道徐培何文伟连路朋
Owner 叶茂
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