|Table of Contents|

Dual-band Low Level Light Image Real-time Registration Based on Pixel Spatial Correlation Degree

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2009年04期
Page:
506-510
Research Field:
Publishing date:

Info

Title:
Dual-band Low Level Light Image Real-time Registration Based on Pixel Spatial Correlation Degree
Author(s):
ZHANG YiBAI Lian-faCHEN QianGU Guo-hua
Ministerial Key Laboratory of JGMT,NUST,Nanjing 210094,China
Keywords:
image registration color night vision pixel spatial relativity gray-scale symbiotic matrix
PACS:
TP391.41
DOI:
-
Abstract:
In view of the problem of the complexity of different spectrum image registration arithmetics,low registration precision and bad real-time property,an evaluation method of the dual-channel image fusion effect based on pixel spatial correlation degree is proposed.This index is used as the control parameters of real-time image registration.Dual band real-time image registration is carried out based on real-time video image processing emulational platform based on DM642.The experimental results show that,compared with the commonly used algorithm based on the control point or the edge,the image registration algorithm proposed here is more accurate and effective,and it is not influenced by image gray scale change,noise and spectral response characteristics of different band low level light imaging device.

References:

[ 1] 金伟其, 王岭雪, 赵源萌. 彩色夜视成像处理算法的新进展[ J]. 红外与激光工程, 2008, 37( 1): 147 -150.
[ 2] Eric JMR. Automatedmultisensor registration: re quirements andtechniques[ A]. IEEEonPhotogram metric Engineering andRemote Sensing[ C]. Bethes da, MD, USA: AmericanSociety for Photogrammetry andRemoteSensing, 1991. 1029-1038.
[ 3] Flussr J. AnAdaptiveMethod for Image Registration [ J]. PatternRecognition, 1992, 25( 1): 45- 54.
[ 4] 韦燕凤, 赵忠明,闫冬梅, 等. 基于特征的遥感图像自动配准算法[ J]. 电子学报, 2005, 33( 1): 161 -165.
[ 5] 郭海涛, 刘智,张保明. 基于遗传算法的快速影像匹配技术的研究[ J]. 测绘学院学报, 2001, 18(增刊): 20- 22.
[ 6] 熊兴华, 钱曾波, 王任享. 遗传算法与最小二乘法相结合的遥感图像子像素匹配[ J]. 测绘学报, 2001, 30( 1): 54- 59.
[ 7] 黄铜城, 银丽平. 基于投影变换的图像自动配准 [ J]. 微机发展, 2003, 13( 2): 59-61.
[ 8] Yao JianChao. Image registrationbased onboth fea ture and intensity registration[ A]. Proceedings of 2001 IEEE International Conference on Acoustics, SpeechandSignal Processing[ C]. Washington, DC, USA: IEEEComputer Society, 2001. 1693-1696.
[ 9] 李忠新, 茅耀斌, 王执铨. 基于角点匹配的鲁棒图像镶嵌方法[ J]. 南京理工大学学报(自然科学版), 2007, 31( 3): 359-363.

Memo

Memo:
-
Last Update: 2012-11-19