A mosaic algorithm for high-resolution s-μCT image of porous media based on SIFT & SGWs

Xue Wang, Jing Liu
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Abstract

Aiming at image mosaic for high-resolution and high-amplification image of porous media, it proposed a compound method process based on Scale Invariance Feature Transform (SIFT) and Second Generation Wavelets (SGWs). The process is divided into two steps, one is quick match with SIFT, the other is precise image fused by SGWs. It takes full advantage of image's texture to make image matching fast, and then the image fused strategy and method based on SGWs are developed. A series of experiments show that according to high-resolution and high-amplification image, such algorithm could achieve well mosaic result, moreover, obviously it could be applied other likely case.
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基于SIFT和SGWs的多孔介质高分辨率s-μCT图像拼接算法
针对多孔介质高分辨率、高放大图像的拼接问题,提出了一种基于尺度不变性特征变换(SIFT)和第二代小波(SGWs)的复合拼接方法。该过程分为两个步骤,一是用SIFT进行快速匹配,二是用SGWs进行精确图像融合。在此基础上,提出了基于SGWs的图像融合策略和方法。一系列实验表明,对于高分辨率、高放大的图像,该算法可以获得很好的拼接效果,而且显然可以应用于其他可能的情况。
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