在抽象匹配流框架下，构造能够克服大色差问题的彩色图像配准模型。
A color image registration model within the framework of abstract matching flow is proposed to deal with the problem of serious color difference between registered images.
本文也给出相应GCSSD的匹配算法，将其应用于彩色图像花的检索，实验结果表明其性能明显优于CSSD。
A relevant matching algorithm for GCSSD is used in flower retrieval. Experimental results show that GESSD performance is obviously better than that of CSSD.
提出了一种快速灰度图像彩色化算法，将图像像素邻域相关特性引入到匹配像素的搜索过程中。
We present a fast colorizing algorithm, which introduces the pixel neighborhood relativity into the search procedure for the matched pixels.
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