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.
本文分别介绍了基于图像灰度、颜色空间变换和变换域的三种图像融合算法。
This article introduced the image fusion algorithms of gray-scale-based images, color-space conversion and transformation domain respectively.
黑与红、黑与白、各种灰度相融合让传统使用方法会被颠覆。
Black and red, black and white, various gray level phase fusion will make the traditional operation method subverted.
最后应用灰度齐次性准则和边界强度准则进行区域的融合，从而解决了过度分割问题。
Finally the application of gray-scale homogeneity criteria and guidelines for the border regions of intensity integration, in order to address the problem of over-segmentation.
再根据灰度值最小的原则作为图像融合方法，得到最终的二值化图像。
Finally took the fusion method according to the minimum principle of gray values to get the fused image.
然后利用误差扩散方法将浮动灰度编码所包含的低灰度级图像信息融合到用于显示的子场编码中。
For low gray image, the float gray level codes are combined to the binary coded gray levels by the error diffusion method.
然后利用误差扩散方法将浮动灰度编码所包含的低灰度级图像信息融合到用于显示的子场编码中。
For low gray image, the float gray level codes are combined to the binary coded gray levels by the error diffusion method.
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