[1]陆凯,李成金,赵勋杰,等. 一种快速的亚像素图像配准算法[J].红外技术,2013,35(01):027-30.
 LU Kai,LI Cheng-jin,ZHAO Xun-jie,et al.A Fast Sub-pixel Image Registration Algorithm[J].Infrared Technology,2013,35(01):027-30.
点击复制

 一种快速的亚像素图像配准算法
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年01期
页码:
027-30
栏目:
出版日期:
2013-01-31

文章信息/Info

Title:
A Fast Sub-pixel Image Registration Algorithm
文章编号:
1001-8891(2013)01-0027-04
作者:
 陆凯12李成金12赵勋杰1邹薇1 张雪松2
1.苏州大学物理科学与技术学院;
2.光电信息控制和安全技术重点实验室
Author(s):
 LU Kai12LI Cheng-jin12ZHAO Xun-jie1ZOU Wei1ZHANG Xue-song2
1. School of Physical Science and Technology, Soochow University;
2. Science and Technology on Electro-optical Security Laboratory
关键词:
 亚像素图像配准算法角点预检测边缘检测Harris角点
Keywords:
 sub-pixel imageregistration algorithmcorner preliminary detectionedge detectionHarris corner
分类号:
TP391.41
文献标志码:
A
摘要:
 

图像超分辨率重建是在现有红外探测器基础上提升空间分辨率的一种有效方法。超分辨率图像重建是利用一组相互之间存在

亚像素位移的低分辨率图像构造出一幅高分辨率的图像,快速、高精度估计图像间的位移是其关键技术之一。提出了一种用于超分

辨率重建的亚像素配准算法,算法由特征检测、像素级配准和亚像素级配准三个处理过程组成。在特征检测过程,首先采用梯度算

子对图像进行边缘检测,然后对边缘点进行角点预检测,排除非角点像素点,之后再进行Harris角点检测,大大减少了计算量;在

像素级配准过程,用NCC算法进行像素级配准,用统计方法去除误匹配点对;在亚像素级配准过程,先对像素级匹配点的邻域进行插

值放大,再进行亚像素匹配,误匹配点剔除,相对偏移量计算。对提出的算法进行了仿真实验,结果显示本算法的速度较类似算法

速度有较大的提高。

Abstract:
 

The image super-resolution (SR) reconstruction is an effective method to enhance spatial resolution on

the basis of existing infrared detectors. Image SR reconstruction is a process that obtains a high resolution image

from a set of sub-pixel shifted low-resolution (LR) images. A rapid and high accuracy algorithm for estimating the

shift between the images is one of the key technologies. In this paper, a fast sub-pixel registration algorithm is

putted forward. The algorithm consists of three processes: feature detection, pixel-level registration and sub-

pixel level registration. In the feature detection process, Firstly, we extract edges from the original images by

Sobel operator. Secondly, preliminary detection of corner is used to remove the non-corner pixels. And finally, the

Harris corners are extracted. In this way, the time for corner detecting is reduced greatly. In the pixel level

registration process, we use NCC algorithm for registration, then statistical method is applied to remove false

matching points. In the sub-pixel level registration process, we carry out interpolation in the neighborhood of the

pixel-level match points, then the NCC matching and statistical method are used once again. Simulation experiment

of the proposed algorithm is carried out, and the result shows that the speed of the proposed algorithm is

significantly faster than the similar algorithms.

参考文献/References:

 

[1] Park C S,Park K M, Kang G M. Super-resolution image reconstruction: a technical overview[J]. IEEE Signal

Processing Magazine, 2003, 20(3): 21-36.
[2] Harris C, Satephens M J. A combined corner and edge detector[J]. Image Vision Computting, 1988, 6(1): 121-128.
[3] 谢萍. 基于Harris角点与SIFT特征的近景影像匹配[D]. 中南大学, 2011.
[4] 杨泽仟, 刘广琦, 吴永国, 等. 基于小波变换的图像边缘检测匹配算法[J]. 微计算机信息, 2010(10): 117-119.
[5] Indranil Misra, S Manthira Moorthi, et al. An automatic satellite image registration technique based on Harris

corner detection and random sample consensus (RANSAC) outlier rejection model[J]. 1st Int’l Conf. on Recent

Advances in Information Technology, RAIT-2012, 68-73.
[6] 陈跃妤. 边缘检测算法比较分析[J]. 农业网络信息, 2012(6): 31-33.
[7] 高庆吉, 徐萍, 杨璐. 基于改进Harris角点提取算法的网格图像破损检测[J]. 计算机应用, 2012, 32(3): 766-769.

相似文献/References:

[1]陈海欣,顾国华,钱惟贤,等. 基于TMS320C6678的背景更新算法的改进与实现[J].红外技术,2013,35(01):021.
 CHEN Hai-xin,GU Guo-hua,QIAN Wei-xian,et al. Improvement and Implementation of Background Updating Algorithm Based on TMS320C6678[J].Infrared Technology,2013,35(01):021.
[2]余慧娟,黎兰,刘相新,等. 地面目标红外成像仿真系统的设计与实现[J].红外技术,2013,35(01):031.
 YU Hui-juan,LI Lan,LIU Xiang-xin,et al. Design and Realization of Ground Objects Infrared Scene Simulator[J].Infrared Technology,2013,35(01):031.
[3]郭水旺,王宝红,季钢,等.基于基因表达式编码算法的红外图像轮廓提取[J].红外技术,2013,35(01):038.
 GUO Shui-wang,WANG Bao-hong,JI Gang,et al. Infrared Image Contour Extraction Based on the Gene Expression Coding Algorithm[J].Infrared Technology,2013,35(01):038.
[4]王兵学,雍杨,霍义华,等. 基于纹理特征分析的海天线检测方法[J].红外技术,2013,35(01):042.
 WANG Bing-xue,YONG Yang,HUO Yi-hua,et al. Sea-sky-line Detection Algorithm Based on Texture Analysis[J].Infrared Technology,2013,35(01):042.
[5]徐航,孟卫华,周珩,等. 半透明平板对辐射亮度的衰减影响分析[J].红外技术,2013,35(01):047.
 XU Hang,MENG Wei-hua,ZHOU Heng,et al.An Analysis on the Influence of Radiance Attenuation from a Semi-transparent Slab[J].Infrared Technology,2013,35(01):047.
[6]孙爱平,皮冬明,安长亮,等. 光机装校阶段红外与可见光图像配准技术研究[J].红外技术,2013,35(01):050.
 SUN Ai-ping,PI Dong-ming,AN Chang-liang,et al. Study on IR/Visible Image Registration for Lens Assembly[J].Infrared Technology,2013,35(01):050.
[7]王宇,汤心溢,刘鹏,等. 拼接型长线列红外双波段图像实时传输系统[J].红外技术,2013,35(02):069.
 WANG Yu,TANG Xin-Yi,LIU Peng,et al. A Real-Time Transmission System of Splicing Long Linear Dual-Band IR Image[J].Infrared Technology,2013,35(01):069.
[8]潘胜达,林长青. 512×8中波TDI红外探测器成像系统设计[J].红外技术,2013,35(02):074.
 PAN Sheng-da,LIN Chang-qing.Design of Scanning Imaging System Based on 512×8 MW TDI IRFPA[J].Infrared Technology,2013,35(01):074.
[9]秦金明,陈宝国,李丽娟,等. 4×128双色线列红外探测器成像电路设计[J].红外技术,2013,35(02):078.
 QIN Jin-ming,CHEN Bao-guo,LI Li-juan,et al. Imaging Circuit Design of 4×128 Two-color Linear Array Infrared Detector[J].Infrared Technology,2013,35(01):078.
[10]徐君,刘强,谢承旺. 基于MOMES的Hadamard编码模板的设计方法[J].红外技术,2013,35(02):083.
 XU Jun,LIU Qiang,XIE Cheng-wang. The Design Approach of Hadamard Encoding Mask Based on MOMES[J].Infrared Technology,2013,35(01):083.

备注/Memo

备注/Memo:
收稿日期:2012-12-17.
作者简介:陆凯(1989-),男,江苏苏州人,硕士研究生,研究方向为计算机视觉及应用。
基金项目:国防科技重点实验室基金项目
更新日期/Last Update: 2013-02-04