gray level difference vector 灰度级差矢量
Experiments demonstrated that our image registration method can register images with a big rotation angle, shift, or gray level difference, and have both high registration accuracy and speed.
实验结果表明该算法在保持高配准精度的同时有较高的执行速度,能够实现有大旋转角度、平移以及灰度差条件下不同传感器或波段的图像自动配准。
参考来源 - 像素级图像融合方法研究与应用·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper mainly studies the extraction of high-altitude targets, particularly for airspace object because of the gray level difference of target and background.
本文主要研究对空域目标的提取，针对空域目标和背景特殊的灰度差异性对目标进行分离。
Because of difference on the gray - level and resolution - level between multi - source images, it is very difficult to register two images.
不同源图像间由于灰度和分辨率水平上的显著差异，使得两图像间的配准问题十分困难。
应用推荐