最后，将两幅差异图像和灰度融合图像分别送至r、G、B颜色通道进行显示。
At last, these two images including differences and the gray-level fusion image are sent to r, g, B color channels respectively.
为解决过度分割的问题，给出了区域的灰度特性和边界强度及区域尺寸相结合的融合准则。
To solve the problem of the over-segmentation, the criterions of region intensity and edge strength and region size are combined.
提出了一种基于小波变换的微光图像与红外图像的调制融合算法，用对比度调制与灰度调制方法分别对微光图像与红外图像进行了融合处理。
A modulating fusion algorithm based on wavelet transform is advanced. The low light level image and infrared image are fused using contrast modulating and gray level modulating method.
应用推荐