Parameter Adaptive Illumination Robust Feature Extraction Transform

SHAO Zhen-Feng

doi:null

您当前的位置：

首页 >

文章列表页 >

Parameter Adaptive Illumination Robust Feature Extraction Transform

Article | 更新时间：2020-08-12

- Parameter Adaptive Illumination Robust Feature Extraction Transform
- Optics and Precision Engineering Vol. 19, Issue 8, (2011)
- 作者机构：
  
  武汉大学测绘遥感信息工程国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：28 February 2011，
  
  Revised：11 April 2011，
  
  Published Online：21 October 2011，
  
  Published：25 August 2011
- 稿件说明：
移动端阅览
陈敏,邵振峰. 参数自适应的亮度稳健特征提取变换[J]. 光学精密工程, 2011, 19(8): 0-0.

CHEN Min,SHAO Zhen-Feng. Parameter Adaptive Illumination Robust Feature Extraction Transform[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(8): 0-0.
陈敏,邵振峰. 参数自适应的亮度稳健特征提取变换[J]. 光学精密工程, 2011, 19(8): 0-0. DOI：

CHEN Min,SHAO Zhen-Feng. Parameter Adaptive Illumination Robust Feature Extraction Transform[J]. Editorial Office of Optics and Precision Engineering, 2011, 19(8): 0-0. DOI：

摘要

针对目前大多数的特征提取算法对图像的亮度变化很敏感这一问题，本文提出了一种基于图像灰度直方图整体分布的参数自适应亮度稳健特征提取变换PA-IRFET（Parameter Adaptive Illumination Robust Feature Extraction Transform）。该算法首先确定灰度变换函数的形式，然后通过分析图像的直方图分布来计算灰度变换函数参数，利用不同参数值的变换函数对图像进行变换建立图像的亮度空间。最后，以亮度空间为基础，结合适当的特征提取算子在亮度空间进行图像特征提取以获得亮度稳健的特征。本文实验将PA-IRFET算法与Harris算子相结合进行特征点提取，检测到的特征点个数比IRFET-Harris检测到的特征点个数有大幅提高，重复特征点的个数大约比IRFET-Harris多20%。实验结果表明：PA-IRFET算法对图像亮度变化具有较强的鲁棒性。

Abstract

Most feature extraction algorithms are highly sensitive to illumination variations. This paper presents a parameter adaptive illumination robust extraction transform (PA-IRFET) which is based on the histogram of the image. The method includes three steps: firstly

the gray transformation function and parameters are determined based on the analysis of the histogram of the image. Then

the function is used to transform the image to build illumination-space. Finally

the illumination-space is combined with feature extraction algorithms to detect illumination robust features. In the experiment of this paper

PA-IRFET is combined with Harris detector. PA-IRFET improves the number of detected features of IRFET greatly and improves the repeated features of IRFET by around 20% on average. This demonstrates that PA-IRFET is more robust to illumination variation than IRFET.

关键词

Keywords

references

Views

411

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

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