Localization method of car face grid based on image features

ZHANG You-fen; LI Yu-hui; PAN Yi

doi:10.13873/j.1000-9787(2017)09-0064-03

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Localization method of car face grid based on image features

更新时间：2025-09-11

- Localization method of car face grid based on image features
- Vol. 36, Issue 9, Pages: 64-66(2017)
- 作者机构：
  
  1. 昆明理工大学信息工程与自动化学院
  2. 云南省智能交通系统工程技术研究中心智能图像处理研究室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)09-0064-03
  CLC： U495;TP391.41
- Published：2017
- 稿件说明：
移动端阅览
[1]张有芬,李玉惠,潘艺.基于图像特征的车脸栅格的定位方法[J].传感器与微系统,2017,36(09):64-66.

ZHANG You-fen, LI Yu-hui, PAN Yi. Localization method of car face grid based on image features[J]. 2017, 36(9): 64-66.
[1]张有芬,李玉惠,潘艺.基于图像特征的车脸栅格的定位方法[J].传感器与微系统,2017,36(09):64-66. DOI： 10.13873/j.1000-9787(2017)09-0064-03.

ZHANG You-fen, LI Yu-hui, PAN Yi. Localization method of car face grid based on image features[J]. 2017, 36(9): 64-66. DOI： 10.13873/j.1000-9787(2017)09-0064-03.

摘要

为了解决智能交通系统中车型识别的瓶颈

找到能够准确定位车标的方法

提出了在Adaboost算法定位出的车脸的基础上

对车脸图像进行二值化处理

经过二值化图像的水平梯度和垂直梯度的投影定位栅格的方法

为后续车标的识别提供了一种新的方法。经过实验验证:方法无论从理论上还是实际应用中

具有重要的意义。

Abstract

In order to solve the bottleneck of vehicle recognition in intelligent transportation system

and find a way to accurately locate the vehicle logo

a new method is presented based on the Adaboost algorithm to locate the car face. After binaryzation image processing

projection of the horizontal gradient and vertical gradient of the binaryzation image is used to locate the grid

provide a new method for identification of the subsequent logo.Experimental results show that this method is of great significance both in theory and in practice.

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references

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