基于Contourlet变换的EPMA图像融合方案

L. Xiang, Tang Wei
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引用次数: 0

摘要

在分析电子探针图像特征的基础上,提出了一种基于Contourlet变换的EPMA图像融合方案。Contourlet作为一种新型的多尺度几何分析工具,与传统的图像表示方法相比具有许多优点。它提供了灵活的方向数量,并捕获了图像的内在几何结构。具有低冗余轮廓的高效方向滤波器组在图像处理中具有重要的应用价值。实验表明,所提出的图像融合方法比现有的图像融合方法具有更好的性能,有利于进一步的图像处理和分析,如同微表面目标识别、杂质特征提取等
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EPMA Image Fusion Scheme Based on Contourlet Transform
Based on the analysis of the characteristics of electron probe image, This paper proposes a novel EPMA image fusion scheme based on Contourlet Transform. As a novel multiscale geometric analysis tool, Contourlet has shown many advantages over the conventional image representation methods. It provides flexible number of directions and captures the intrinsic geometrical structure of images. The efficient directional filter banks with low redundancy of contourlet are very attractive for image processing. Experiments show the proposed image fusion method can have better performance than existing image fusion methods,which is good for further image Processing and Analysis such as identical micro surface target recognition, impurity feature extraction and etc
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