Image Retrieval Using Multi-Scale Arch Height Shape Description

WANG Bin

doi:10.3969/j.issn.0372-2112.2013.09.024

您当前的位置：

首页 >

文章列表页 >

Image Retrieval Using Multi-Scale Arch Height Shape Description

更新时间：2025-07-16

- Image Retrieval Using Multi-Scale Arch Height Shape Description
- Acta Electronica Sinica Vol. 41, Issue 9, Pages: 1821-1825(2013)
- 作者机构：
  
  1. 南京财经大学电子商务省级重点实验室,江苏,南京,210046
  2. 东南大学生物医学工程学院,江苏,南京,210096
  3. 南京财经大学电子商务省级重点实验室,江苏,南京,210046
  4. 东南大学生物医学工程学院,江苏,南京,210096
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61372158);A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions;Six Talents Peaks in Jiangsu Province (No.2010-DZXX-023);Major Projec Natural Science Research in Universities of Jiangsu Province (No.11KJA520004);Industrialization Promotion Program of Scientific Research Achievemnet of colleges and universities in Jiangsu Province (No.JHB2012-18);Pre-research Foundation of Nanjing University of Finance and Economics (No.W_BXW12001)
- DOI：10.3969/j.issn.0372-2112.2013.09.024
  CLC： TP391
- Published：2013
- 稿件说明：
移动端阅览
WANG Bin. Image Retrieval Using Multi-Scale Arch Height Shape Description[J]. Acta Electronica Sinica, 2013, 41(9): 1821-1825.
DOI：

WANG Bin. Image Retrieval Using Multi-Scale Arch Height Shape Description[J]. Acta Electronica Sinica, 2013, 41(9): 1821-1825. DOI： 10.3969/j.issn.0372-2112.2013.09.024.

摘要

本文提出了一种多尺度拱高形状描述(MSAH).该方法用多尺度的拱高来度量形状轮廓线在其每一个点的弯曲程度

这里尺度是以该点为中点的弧段的长度.在每一个尺度级

为形状轮廓线构建一个一维的拱高函数

然后对其进行傅立叶变换

组合各尺度级的低阶的傅立叶变换系数

构成描述形状的特征向量.在形状匹配阶段

用两个形状的特征向量的

-距离来度量它们的形状相似性.该方法不仅能描述形状的全局特征

而且能描述形状的细节信息

因而在应用于图像检索中

具有高的检索精确率.MSAH形状描述子非常紧致

而且具有较低的计算复杂度

因而检索效率也很高.在用MPEG-7形状数据库和植物叶片形状数据库的检索实验中

其检索性能要优于近年来提出的基于变换域的形状描述方法和经典的形状上下文描述方法.

Abstract

A multi-scale arc height shape description(MSAH)is proposed for image retrieval.This method uses the multi-scale arc height to measure the bending degree of each contour point.At each scale

an arch height function is generated and is suffered from Fourier transform.The Low frequency coefficients of Fourier transform for arch height functions of each scale are combined to form a feature vector as the shape description.At the shape matching stage

the L

distance between the two features is used to measure the shape similarity.MSAH can not only capture the global features of the shape

but also reflect the details of the shape

therefor it has a higher retrieval

accuracy when applied to image retrieval.MSAH is very compact and has a low computational complexity

so it has higher retrieval efficiency.MSAH is evaluated on the MPEG-7 shape database and plant leaf database

all the experiments show that MSAH has higher retrieval performance over the recent proposed transform domain based methods and shape contexts method.

关键词

Keywords

references

Views

1747

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Shape Description Using Arc-Height Radius Complex Function

An Invariant Region-Shape Descriptor Based on Fourier Transform

An Image Retrieval Method Synthesizing PHOG Shape Description and Wavelet Pyramid Energy Distribution

Related Author

WANG Bin

WANG Li-dong

WEI Bao-gang

YUAN Jie

FONT

DING Xing-

LIAO Ying-hao

LIU Pei-zhong

Related Institution

School of biomedical engineeringSoutheast UniversityNanjingJiangsu 210096China

Key Laboratory of Electronic BusinessNanjing University of Finance and EconomicsNanjingJiangsu 210046China

Hangzhou Normal UniversityHongzhouZhejiang 310012China

College of Computer Science and Technology, Zhejiang University

Hangzhou Normal University,Hongzhou

⁰