[1]周可,秦世引.SIFT特征匹配的辐射畸变图像相对校正新方法[J].智能系统学报,2011,6(6):507-514.
ZHOU Ke,QIN Shiyin.A novel method for relative correction of a radiometric distortion image based on SIFT feature matching[J].CAAI Transactions on Intelligent Systems,2011,6(6):507-514.
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ZHOU Ke,QIN Shiyin.A novel method for relative correction of a radiometric distortion image based on SIFT feature matching[J].CAAI Transactions on Intelligent Systems,2011,6(6):507-514.
SIFT特征匹配的辐射畸变图像相对校正新方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第6期
页码:
507-514
栏目:
学术论文—人工智能基础
出版日期:
2011-12-25
- Title:
- A novel method for relative correction of a radiometric distortion image based on SIFT feature matching
- 文章编号:
- 1673-4785(2011)06-0507-08
- Keywords:
- unregistered masterslave image couple; scaleinvariant feature transform; feature matching; relative radiometric correction; optical flow field
- 分类号:
- TP751
- 文献标志码:
- A
- 摘要:
- 针对常规相对辐射校正方法对未配准的主从图像对校正效果欠佳的问题，在分析了辐射畸变图像的成因与特点以及相对校正的优势之后，提出了一种基于SIFT特征匹配的相对辐射校正算法.从SIFT特征的不变性出发，分别提取主从图像对的SIFT特征并进行匹配，对匹配点的灰度值进行最小二乘回归分析，得到线性变换系数，最后通过线性变换得到校正结果.实验结果表明，此方法能够有效地减小未配准主从图像对之间的辐射差异，并在复杂光照环境下的光流场计算中得到成功的应用.
- Abstract:
- In view of the issue of traditional relative radiometric correction methods not being able to handle the effects in dealing with unregistered master slave image couples, systematic analysis of formation causes and radiometric distortion image characteristics was carried out and the advantages of relative corrections were investigated. Therefore, a novel relative radiometric correction method was proposed based on SIFT feature matching. Depending on their feature invariance, the SIFT features of the master slave image couple were extracted and matched first, and then the least square regression was employed to analyze the gray values of the matching points in order to obtain the linear transformation coefficients. Finally the correction result was achieved through the linear transformation of the slave image. A series of experimental results show that the radiometric differences between the unregistered masterslave image couples may be effectively reduced by using this method. In addition, this method has been successfully applied in the calculation of an optical flow field under complex light environments.
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备注/Memo
收稿日期： 2011-07-07.
基金项目：国家自然科学基金资助项目(60875072);北京市自然科学基金资助项目(4112035);中澳国际合作资助项目(2007DFA11530).
通信作者：周可.E-mail:freehawkzk@126.com.
作者简介：周可，男，1986年生，硕士研究生，主要研究方向为混叠序列图像校正与超分辨率重建.
秦世引，男，1955年生，教授，博士生导师，主要研究方向为复杂系统的智能控制、图像处理与模式识别等.作为负责人主持完成国家“973”计划项目的子课题、国家“863”计划项目、国家自然科学基金项目等20余项.1999年获全国优秀科技图书奖暨科技进步奖(科技著作)一等奖，1999年获国家第5届工程设计优秀软件金奖.发表学术论文180余篇，出版学术专著1部，研究生教材1部，译著2部.
更新日期/Last Update:
2012-02-29