Vehicle Image Edge Detection Using Image Cluster Analysis

LIU Li-cheng

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Vehicle Image Edge Detection Using Image Cluster Analysis

更新时间：2026-05-27

- Vehicle Image Edge Detection Using Image Cluster Analysis
- Vol. 23, Issue 2, Pages: 69-73(2006)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：06 April 2006，
  
  Published：2006
- 稿件说明：
移动端阅览
刘立程. 图像聚类分析法用于汽车图像边缘的检测[J]. 广东工业大学学报, 2006, 23(2): 69-73.

LIU Li-cheng. Vehicle Image Edge Detection Using Image Cluster Analysis[J]. 2006, 23(2): 69-73.
刘立程. 图像聚类分析法用于汽车图像边缘的检测[J]. 广东工业大学学报, 2006, 23(2): 69-73. DOI：

LIU Li-cheng. Vehicle Image Edge Detection Using Image Cluster Analysis[J]. 2006, 23(2): 69-73. DOI：

摘要

在分析用于图像边缘检测的多尺度多方位的形态学梯度算法基础上

结合基于自组织神经网络的图像聚类分析的数据融合技术

提出了一种改进的基于形态学梯度法的汽车图像边缘检测方法.经过实验检验

与其它形态学边缘检测方法进行了比较

该方法对汽车图像边缘检测具有较好效果.

Abstract

On the analysis of the multi-scale and multi-direction mathematical morphology gradient algorithm for the image edge detection

using a kind of image fusion based on the cluster analysis of self-organizing feature map neural networks

an improved vchicle image edge detection method based on the morphology gradient is given in this paper.Experiment results are obtained by applying the edge detector on a truck image

which proves to have better effect than other existing morphogy edge detectors.

关键词

Keywords

references

王宇,王乘,刘吉平. 一种基于数学形态学的遥感图像边缘检测算法[J]. 重庆邮电学院学报(自然科学版). 2003(02)

王阳萍,何欣. 智能图像处理技术在车型识别中的应用研究[J]. 兰州交通大学学报. 2004(04)

徐东燕,付忠良,阮波. 一种基于多结构元的弱对比度图像的边缘检测方法[J]. 计算机应用. 2004(06)

陈虎,王守尊,周朝辉. 基于数学形态学的图像边缘检测方法研究[J]. 工程图学学报. 2004(02)

张兆礼等著.现代图像处理技术及Matlab实现[M]. 人民邮电出版社, 2001

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

An Improved Vehicle Image Edge Detection Based on Morphology Gradient

A Two-way Network Model for Semantic Segmentation

A Study of the Method of Bus Station Recognition Based on IC Card Data

The Application of Morphology to Edge Detection of Traffic Signs

Motion Object Detection Method Based on the Characteristic Image

Related Author

Yang Yun-long

Liang Lu

Teng Shao-hua

Xie Zhen-dong

Leng Meng-tian

Wu Jin-cheng

He Chun

Feng Sang

Related Institution

School of Computer Science and Technology, Guangdong University of Technology

Guangdong Lingnan Pass Co., LTD.

AI问答

⁰