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Improved Method of Multi-focal Plane Micro-image Fusion

机译:改进的多焦平面微图像融合方法

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摘要

In order to implement image fusion with multi-focus sequence images for the 3-D reconstruction of the micro-morphology on machining metal surface, an improved image fusion method based on a variance block of edge sharpening is presented. Firstly, an image capture system including an adjustable measuring microscope was constructed according to the microscopic surface features under different machining methods. The evaluation parameters were selected so as to determine focus parts in some 2-D serial images and to properly evaluate processing results. A multi-focus image fusion algorithm was proposed to obtain a clear focus image and to avoid mosaics, edge blurring and so on. And then some processing images were shown and the proper conditions achieving this algorithm were discussed by image evaluation value under different processing. Data processing results show that the method is feasible, simple and high efficiency, and also provide a basis study for 3-D reconstruction of metal surface and farther roughness measurement.
机译:为了实现多焦点序列图像的融合以对加工金属表面的微观形态进行3-D重建,提出了一种基于边缘锐化方差块的改进图像融合方法。首先,根据显微表面特征,在不同的加工方法下,构造了包括可调式测量显微镜的图像采集系统。选择评估参数以便确定某些二维序列图像中的焦点部分并适当评估处理结果。提出了一种多焦点图像融合算法,以获得清晰的焦点图像,并避免出现马赛克,边缘模糊等现象。然后显示了一些处理图像,并通过不同处理条件下的图像评估值讨论了实现该算法的合适条件。数据处理结果表明,该方法可行,简便,高效,为金属表面的三维重构和进一步的粗糙度测量提供了基础研究。

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