Three-dimensional reconstruction of fracture surfaces: area matching algorithms for automatic parallax measurements.
Three-dimensional reconstruction of fracture surfaces: area matching algorithms for automatic parallax measurements.
复制标题
断裂表面的三维重建：自动视差测量的区域匹配算法。
DOI：
10.1002/sca.4950210405
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
J. Ammann
中科院分区：
文献类型：
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作者：
L. Hein;F. Silva;A. Nazar;J. Ammann
本文描述了两种系统测量表面高程的解决方案，可用于定量断口案例研究的剖面和表面重建。第一个是在Khoros图形界面环境下开发的。它包括基于互相关运算的几乎经典的区域匹配算法对众所周知的立体对视差测量方法的适应。创建归一化函数以避免错误的互相关峰值，从而在两个立体投影上分析的每个区域驱动到真实的窗口最佳匹配解决方案。还讨论了扫描电子显微镜使用的一些限制和表面图案的类型。第二种算法基于空间相关函数。该解决方案是在 NIH 图像宏编程下实现的，结合了低对比度区域的良好表示以及整体用户界面和性能的许多改进。还介绍了其优点和局限性。
This paper describes two solutions for systematic measurement of surface elevation that can be used for both profile and surface reconstructions for quantitative fractography case studies. The first one is developed under Khoros graphical interface environment. It consists of an adaption of the almost classical area matching algorithm, that is based on cross-correlation operations, to the well-known method of parallax measurements from stereo pairs. A normalization function was created to avoid false cross-correlation peaks, driving to the true window best matching solution at each region analyzed on both stereo projections. Some limitations to the use of scanning electron microscopy and the types of surface patterns are also discussed. The second algorithm is based on a spatial correlation function. This solution is implemented under the NIH Image macro programming, combining a good representation for low contrast regions and many improvements on overall user interface and performance. Its advantages and limitations are also presented.