Targets detection method for image under nature texture background

CHEN Xiao-zhong; SUN Hua-yan

doi:null

您当前的位置：

首页 >

文章列表页 >

Targets detection method for image under nature texture background

更新时间：2020-08-12

- Targets detection method for image under nature texture background
- Optics and Precision Engineering Vol. 8, Issue 5, Pages: 421-424(2000)
- 作者机构：
  
  装备指挥技术学院测量控制系, 北京怀柔,101416
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.74
- Received：10 April 2000，
  
  Revised：17 July 2000，
  
  Published Online：15 October 2000，
  
  Published：15 October 2000
- 稿件说明：
移动端阅览
陈晓钟, 孙华燕. 一种自然纹理背景下的图像目标检测方法[J]. 光学精密工程, 2000,(5): 421-424

CHEN Xiao-zhong, SUN Hua-yan. Targets detection method for image under nature texture background[J]. Editorial Office of Optics and Precision Engineering, 2000,(5): 421-424
陈晓钟, 孙华燕. 一种自然纹理背景下的图像目标检测方法[J]. 光学精密工程, 2000,(5): 421-424 DOI：

CHEN Xiao-zhong, SUN Hua-yan. Targets detection method for image under nature texture background[J]. Editorial Office of Optics and Precision Engineering, 2000,(5): 421-424 DOI：

摘要

本文根据被测图像纹理背景和目标区域在小波变换域内图像能量的分布不同

以及经过多尺度分解后在各子空间信息分布的不同

运用与背景纹理的方向无关

对目标的变化具有旋转、平移以及尺度不变性的能量特征作为检测目标的依据.为了有效地提高目标边界的定位精度

抑制背景噪声

本文提出了能量特征图和基于多尺度分析的边缘特征图相融合的特征融合方法进行目标检测.实验证明该方法具有较好的适应性.

Abstract

Based on the energy distribution difference between targets and background and on the information distribution difference in wavelet field after multiscale decomposing

the energy feature is chosen as one of the detection basis. It brings the independence of background texture direction and the invariance of rotation and translation for the changes of targets. In order to restrain the noise of background

improve the edge precision and probability of detection

the fusion method of energy feature and multiscale-based edge feature is proposed. The results of experiments prove that this method has relative adaptability.

关键词

Keywords

references

Views

201

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Edge feature extraction method for image

Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction

Identification and suppression of stars under large range of star field density variation

Target detection using spectral unmixing

Mandibular fracture detection with 3M-YOLOv5 network based on enhanced feature extraction capability

Related Author

ZHAO Ju-bo

SUN Hua-yan

DU Wei

ZHANG Zhihao

DU Lixia

HOU Yue

HAO Ziwei

YIN Jie

Related Institution

The 82 Detachment of 38611 Troops

Department of Measuring and Control, Institute of Command and Technology, Beijing Huairou

The 96 Detachment of 38611 Troops

College of Electronic and Information Engineering， Lanzhou Jiaotong University

Unit of PLA

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰