利用Bandelets变换的电子探针图像融合优化算法研究

电子探针分析图像（EPMA）作为样品微表面元素与形态分析的重要图像来源，已在样品精密分析技术中得到广泛应用。本文立意于电子探针影像分析应用的现状，在深入分析EPMA各类图像特点的基础上，结合Bandelets变换的自适应多尺度分析特性，提出利用二代Bandelets变换进行快速EPMA图像融合的详细方法与过程。仿真实验证明，二代Bandelet变换能支持更快速、鲁棒的图像分解方法，提供近乎线性的快速融合算法，具有较理想的实际应用价值。

An Optimum Algorithm for Electron Probe Micro-Analyzer ImageFusion Based on Bandelets Transform

The Electron Probe Micro-analyzer (EPMA) image, as a key source of the sample micro-morphological elements, has already been widely used in sophisticated analytical techniques. After studying on the situation of the EPMA application and its characteristics, as well as adaptive multi-scale analysis characteristics of Bandelets transform, a second generation Bandelets transform is proposed in this paper. The experiment shows that the second generation Bandelets transform, which has better practical value, can support rapid and robust image decomposition and provide near-linear algorithm.