Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets

DING Nan-nan; LIU Yan-ying; ZHU Ming

doi:null

您当前的位置：

首页 >

文章列表页 >

Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets
- Chinese Journal of Liquid Crystals and Displays Vol. 27, Issue 1, Pages: 125-129(2012)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院,北京 100039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：04 August 2011，
  
  Revised：08 September 2011，
  
  Published Online：15 February 2012，
  
  Published：15 February 2012
- 稿件说明：
移动端阅览
丁南南, 刘艳滢, 朱明. 尺度相互作用墨西哥帽小波提取图像特征点[J]. 液晶与显示, 2012,27(1): 125-129

DING Nan-nan, LIU Yan-ying, ZHU Ming. Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets[J]. , 2012,27(1): 125-129
丁南南, 刘艳滢, 朱明. 尺度相互作用墨西哥帽小波提取图像特征点[J]. 液晶与显示, 2012,27(1): 125-129 DOI：

DING Nan-nan, LIU Yan-ying, ZHU Ming. Extracting Image Feature Points Using Scale-Interaction of Mexican-Hat Wavelets[J]. , 2012,27(1): 125-129 DOI：

摘要

图像特征点是图像的重要局部特征

它是图像理解和模式识别中的重要信息

图像特征点提取技术也是图像处理的有力工具之一。提出了一种在尺度相互作用模型下利用墨西哥帽小波来提取图像特征点方法

该方法对于经过旋转、亮度、模糊以及噪声处理后的失真图像仍能提取出相对位置和数量都较为一致的特征点。而针对尺度相互作用的墨西哥帽小波提取不同尺度的图像时的特征点相对位置不一致的问题

提出了在墨西哥帽小波中加入尺度因子的方法

通过仿真实验验证了算法的正确性。

Abstract

The feature point is an important local feature in the image

and it is also the important information in the image comprehension and pattern recognition

so the feature point extraction technology becomes a powerful tool of image processing. A method that based on scale-interaction of Mexican-hat wavelets is presented

and the method could extract close number of feature points corresponding to the same location in the images distorted by rotation

brightness

blur and noise. For the problem that the feature points extracted by scale-interaction of Mexican-hat wavelets are corresponding to the different locations in images of different scales

the method that resizes the Mexican-hat wavelets by the scale factors is presented. Finally

the algorithm is proved by simulation experiments.

关键词

Keywords

references

Harris C, Stephens M. A combined corner and edge detector //Proceedings of the 4th Alvey Vision Confe-rence, UK: Manchester, 1988: 147-151.[2] David G L.Distinctive image features from Scale-invariant keypoints [J]. Int. J. Comput. Vis., 2004, 60(2): 91-110.[3] Bay H, Tuvtellars T, Gool L Van. SURF: speeded up robust features //Proceedings of the European Conference on Computer Vision, Austria: Springer, 2006:404-417.[4] Manjunath B, Shekhar C, Chellappa R. A new approach to image feature detection with applications [J]. Pattern Recognition, 1996, 29(4):627-640.[5] Dobbins A, Zucker S, Cynader M. Endstopping and curvature [J].Vision Research, 1989,29(10):1371-1387.[6] Antoine J, Murenzi R. Two-dimensional directional wavelets and the scale-angle representation [J]. Signal Processing, 1996, 52(3):259-281.[7] Bhattacharjee S, Kutter M. Compression tolerant image authentication //Proceedings of the IEEE International Conference on Image Processing (ICIP), USA: IEEE, 1998:435-439. 第27卷第1期2012年2月液晶与显示 Chinese Journal of Liquid Crystals and Displays Vol.27,No.1Feb.,2012

Views

582

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Lightweight method of feature point extraction and matching incorporating a progressive strategy

Related Author

YANG Luxia

REN Jiale

ZHANG Hongrui

HAN Rui

CUI Yaowen

MA Yongjie

YANG Luxia

REN Jiale

Related Institution

School of Computer Science and Technology， Taiyuan Normal University

Shanxi Provincial Key Laboratory of Intelligent Optimization Computing and Blockchain Technology Taiyuan Normal University

School of Physics and Electrical Engineering， Northwest Normal University

Shanxi Provincial Key Laboratory of Intelligent Optimization Computing and Blockchain Technology

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China 130033 Postal code：130033
Tel：0431-86176059 Email：yjxs@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