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Use of the two-dimensional Radon transform to generate a taxonomy of shape for the characterization of abrasive powder particles

机译:使用二维Radon变换生成形状分类法以表征磨料粉颗粒

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摘要

An image processing technique for the extraction of parameters characteristic of the shape and angularity of abrasive powder particles is proposed. The image data are not analyzed directly. Information concerning angularity and shape is extracted from the parametric transformation of the 2D binarized edge map. The transformation process used, the Radon transform, is one to many, that is, each image point generates in transform space the parameters of all the possible curves on which it may lie and the resulting distribution is an accumulation of that evidence. Once the image data are segmented, the technique has the potential to deliver a comprehensive numerical description of the shape and angularity of the particles under investigation without the need for further interaction by the operator. The parameters obtained are arranged into a taxonomy according to their usefulness in categorizing the shapes under inspection. The technique is novel in that it offers an analytical definition of a corner and its apex and it automatically selects only those protrusions coincident with the convex hull of the shape and, hence, those most likely to contribute to the process of abrasion. The advantages and potential pitfalls of using the technique are illustrated and discussed using real image data.
机译:提出了一种图像处理技术,用于提取磨料颗粒形状和角度特征参数。不直接分析图像数据。从2D二值化边缘图的参数转换中提取有关角度和形状的信息。所使用的变换过程Radon变换是一对多的,也就是说,每个图像点在变换空间中生成它可能位于的所有可能曲线的参数,并且所得分布是该证据的积累。一旦图像数据被分割,该技术就有可能提供所研究颗粒的形状和角度的全面数值描述,而无需操作员进一步互动。根据所获得的参数在检查形状分类中的有用性,将其分类。该技术是新颖的,因为它提供了拐角及其顶点的解析定义,并且仅自动选择与形状的凸包一致的那些突出部分,因此,最有可能有助于磨损过程的那些突出部分。使用实际图像数据说明并讨论了使用该技术的优势和潜在的陷阱。

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