Three-dimensional feature detection using optimal steerable filters
Three-dimensional feature detection using optimal steerable filters
复制标题
使用最佳可操纵滤波器进行三维特征检测
DOI：
10.1109/icip.2005.1530266
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Unser
中科院分区：
文献类型：
--
作者：
F. Aguet;M. Jacob;M. Unser
我们提出了一个使用可控制滤波器的三维特征检测框架。这些过滤器可以被设计为通过最大化几个类似康尼的标准来最佳地响应特定类型的特征。检测过程包括模板的取向和相应响应的解析计算。后处理步骤包括抑制非最大值，然后进行阈值处理以消除不重要的特征，从而结束检测过程。我们通过设计用于曲面和曲线检测的特征模板来说明该方法，并通过实际应用证明了其有效性。
We present a framework for feature detection in 3-D using steerable filters. These filters can be designed to optimally respond to a particular type of feature by maximizing several Canny-like criteria. The detection process involves the analytical computation of the orientation and corresponding response of the template. A post-processing step consisting of the suppression of non-maximal values followed by thresholding to eliminate insignificant features concludes the detection procedure. We illustrate the approach with the design of feature templates for the detection of surfaces and curves, and demonstrate their efficiency with practical applications.