论文标题
使用离散ra变换对高阶2D图像矩的有效计算
Efficient Computation of Higher Order 2D Image Moments using the Discrete Radon Transform
论文作者
论文摘要
图像伪像的几何矩和力矩不变性在计算机视觉应用中有很多用途，例如形状分类或对象位置和方向。更高阶段的力矩是提供其他功能描述符，测量峰度或解决N倍对称性的额外特征描述。本文提供了基于离散ra变换的有效算法扩展有效算法的方法和实际应用，以生成大于第三阶的力矩。提出了数学基础知识，其次是相关的实施细节。根据图像区域及其计算比较与标准方法进行比较的结果证明了该方法的功效。
Geometric moments and moment invariants of image artifacts have many uses in computer vision applications, e.g. shape classification or object position and orientation. Higher order moments are of interest to provide additional feature descriptors, to measure kurtosis or to resolve n-fold symmetry. This paper provides the method and practical application to extend an efficient algorithm, based on the Discrete Radon Transform, to generate moments greater than the 3rd order. The mathematical fundamentals are presented, followed by relevant implementation details. Results of scaling the algorithm based on image area and its computational comparison with a standard method demonstrate the efficacy of the approach.
