Modeling of the Uncertainty of Image Features and Their Similarity Computing Based on Vague Sets

GAO Feng; ZHAO Zhu-xin; WEN Gong-jian; LU Huan-zhang

您当前的位置：

首页 >

文章列表页 >

Modeling of the Uncertainty of Image Features and Their Similarity Computing Based on Vague Sets

更新时间：2025-07-16

- Modeling of the Uncertainty of Image Features and Their Similarity Computing Based on Vague Sets
- Acta Electronica Sinica Vol. 39, Issue 11, Pages: 2622-2626(2011)
- 作者机构：
  
  国防科技大学电子科学与工程学院ATR重点实验室,湖南,长沙,410073
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2011
- 稿件说明：
移动端阅览
GAO Feng, ZHAO Zhu-xin, WEN Gong-jian, et al. Modeling of the Uncertainty of Image Features and Their Similarity Computing Based on Vague Sets[J]. Acta Electronica Sinica, 2011, 39(11): 2622-2626.
DOI：

GAO Feng, ZHAO Zhu-xin, WEN Gong-jian, et al. Modeling of the Uncertainty of Image Features and Their Similarity Computing Based on Vague Sets[J]. Acta Electronica Sinica, 2011, 39(11): 2622-2626. DOI：

摘要

受图像噪声和特征提取方法不稳定性等的影响

特征提取结果存在不确定性

它降低了同名特征之间的相似程度

增大了匹配模糊性.如果忽略这种不确定性

可能会造成匹配精度的降低

甚至导致匹配的失败.为此

本文对图像配准中常用特征的属性参数不确定性进行了分析和建模

并提出了一种基于Vague集的不确定性特征相似度求解方法.本文的理论成果可以应用于图像配准和目标识别等领域中牵涉到的特征匹配问题中.

Abstract

For the influences of noises and feature extraction method

uncertainties are exiting in the extracted features

which decrease the degree of similarity between corresponding features

and enlarge the matching illegibility.If the uncertainties are not analyzed

they may decrease the accuracy of matching and even lead to a failure.Hence

the paper analyses and models the uncertainties of the features

and then proposes a method which bases on Vague sets to compute the similarity between features with uncertainties.The study result can be used in the fields of image registration and target recognition which relate to feature matching.

关键词

Keywords

references

Views

1056

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Semi-Supervised Medical Image Segmentation Based on Suspicious Pixel Mutual Correction

Multi-Level Description of Granules From an Outsider’s Perspective

A Tiny Target Feature Enhancement Algorithm for Semantic Segmentation

Sequential Three-Way Decision Model Based on the Game Between Uncertainty and Error Classification Rate

Multi-Branch Structure Based Local Channel Attention with Uncertainty

Related Author

YANG Zi-yao

LEI Tao

DU Xiao-gang

WANG Meng-xi

SUN Fei-man

GONG Mao-guo

ZHI Hui-lai

ZHANG Li

Related Institution

School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology

Shaanxi Joint Laboratory of Artificial Intelligence, Shaanxi University of Science and Technology

School of Mathematics, Southwest Jiaotong University

Key Laboratory of Collaborative Intelligent Systems, Ministry of Education, Xidian University

School of Computer Science and Technology, Henan Polytechnic University

⁰