Mathematical morphology on directional data

K. Hauch, C. Redenbach
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Abstract

We define morphological operators and filters for directional images whose pixel values are vectors on the unit sphere. This requires an ordering relation for unit vectors which is obtained by using depth functions. They provide a centre-outward ordering with respect to a specified centre vector. We apply our operators on synthetic directional images and compare them with classical morphological operators for grey-scale images. As application example, we enhance the fault region in a compressed glass foam.
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方向数据的数学形态学
我们定义了方向图像的形态学算子和滤波器,其像素值是单位球上的向量。这需要单位向量的排序关系,这是通过使用深度函数获得的。它们对一个指定的中心向量提供了一个中心向外的排序。将该算子应用于合成方向图像,并与经典的灰度图像形态学算子进行比较。作为应用实例,我们对压缩玻璃泡沫中的断层区域进行了增强。
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