铁谱磨粒图像多焦点融合算法研究

铁谱分析技术是一种常用的磨损监测技术。受限于高倍物镜下的景深限制，一张铁谱大磨粒图像往往只有局部聚焦清晰的特征。为了能够解决在高倍物镜下铁谱大磨粒图像的自动化清晰采集以及高质量图像融合问题，设计并构建一套自动化扫描显微系统，该系统可进行多焦点铁谱图像的自动扫描采集；同时，提出一种基于相位一致性的铁谱磨粒图像多焦点融合算法，对自动扫描的多焦点图像进行融合，得到清晰的磨粒图像。实验结果表明，设计的自动化扫描显微系统能快速完成多焦点铁谱图像的自动化采集流程，提出的图像融合算法相较于传统的小波图像融合算法具有更高的图像评价质量，并能获得更加清晰的图像边缘信息。

Research on Multi Focus Fusion Algorithm of Ferrographic Wear Particle Image

Ferrography is a commonly used wear monitoring technology.Limited by the depth of field under the high- magnification objective lens,a ferrography image of large wear particles often has only the features of clear local focus.In order to solve the problem of automatic and clear collection and high- magnification image fusion of ferrography large wear particle images under high magnification objective lens,an automatic scanning microscope system was designed and constructed,which can automatically scan and collect the multifocal ferrography images.A multifocal fusion algorithm of ferrography images based on phase consistency was presented to fuse the automatically scanned multifocal images,and clearer wear particle images were obtained.The experimental results show that the automatic scanning microscope system can quickly complete the automatic acquisition process of multifocus ferrography images,and the image fusion algorithm presented has higher image evaluation quality than the traditional wavelet image fusion algorithm,and can obtain clearer image edge information.