摘要： 针对样品精密检测工作中影像数据复合处理不足的现状，提出以增加图像信息量为目的的多源影像融合分析方法。在分析电子探针微分析影像特性的基础上，结合新小波Bandelets变换在图像表示方面的自适应多尺度优点，给出利用Bandelets变换来完成EPMA图像快速融合的方法与实现过程，对融合结果进行比较与评价。仿真测试结果表明，该方法具有一定的实际参考价值。

关键词: 图像融, Bandelets变, 电子探针微分, 多尺度分, 加权方差

Abstract: Aiming at the status that the compound processing data is insufficient in sample precise detecting, this paper proposes a method of multi-source image fusion analysis for the purpose of increasing the image information. On the basis of analyzing the features of Electron Probe Micro-Analysis(EPMA) images, it gives a method and implemental process of fast EPMA image fusion based on Bandelets transform, and compares and estimates to fusion results. Simulation test results show that the method has definite practical application value.

Key words: image fusion, Bandelets transform, Electron Probe Micro-Analysis(EPMA), multi-scale analysis, weighted variance

中图分类号: 

• TP391.41