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。
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.
出处
《光学与光电技术》
2010年第2期15-18,共4页
Optics & Optoelectronic Technology
关键词
子孔径
图像拼接
图像融合
匹配
sub-aperture
image stitching
image fusion
matching
