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基于灰度校正的子孔径图像拼接算法
引用本文:贺世超,王燕峰,彭春萍.基于灰度校正的子孔径图像拼接算法[J].光学与光电技术,2010,8(2):15-18.
作者姓名:贺世超  王燕峰  彭春萍
作者单位:华中光电技术研究所-武汉光电国家实验室,湖北,武汉,430073
摘    要:在多探测器子孔径组合图像拼接过程中。由于子图像边缘质量差、重叠区域少,而造成拼接图像拼缝明显。为此提出了先对子图像进行灰度校正,再进行图像拼接的新算法。该算法结构简单.易于硬件实现。便于移植到实时多探测器组合图像拼接系统中。仿真结果表明.拼接后图像重叠区平滑过渡,效果良好。

关 键 词:子孔径  图像拼接  图像融合  匹配

Sub-Aperture Image Stitching Algorithm Based on Gray Scale Correction
HE Shi-chao,WANG Yan-feng,PENG Chun-ping.Sub-Aperture Image Stitching Algorithm Based on Gray Scale Correction[J].optics&optoelectronic technology,2010,8(2):15-18.
Authors:HE Shi-chao  WANG Yan-feng  PENG Chun-ping
Institution:( Huazhong Institute of Electr-Optics--Wuhan National Laboratory for Optoelectronics, Wuhan 430073, China )
Abstract:When a sub-aperture image stitching system is based on more than one detector, two distinct characteristics should he solved. One is that the image quality of the overlapped area in two stitching images is bad, the other is that the overlapped area of two stitching images is small. A new image stitching algorithm is proposed in this paper. Before image stitching process, adjusting the gray value of two stitching images is necessary. This algorithm can be easily embedded to hardware, and it can be used in the real time sub-aperture image stitching system. The results show that after using the proposed algorithm, the overlapped area is seamless.
Keywords:sub-aperture  image stitching  image fusion  matching
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