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Morphological multiscale representation for boundaries and surfaces

机译:边界和表面的形态多尺度表示

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A new shape and object representation method for binary and range images is presented in this paper. It is a multiscale representation of an object based on morphological scale transforms. It is proven that erosions and dilations with multiscale structuring elements are equivalent to distance transforms. Through morphological scale transforms (MSTs), morphological scale functions (MSFs) are constituted as the multiscale representation functions of shapes and objects. Intuitively, MSF's are weighted boundaries and surfaces of shapes and objects. Their properties are illustrated in this paper. Invariants of MSFs are applicable to shape matching under scaling and rotation. Applications of MSFs such as corner detection and range image segmentation are studied.
机译:本文介绍了二进制和范围图像的新形状和对象表示方法。它是基于形态学变换的对象的多尺度表示。据证明,具有多尺度结构元素的侵蚀和扩张相当于距离变换。通过形态学尺度变换(MSTS),形态学尺度函数(MSF)被构成为形状和物体的多尺度表示函数。直观地,MSF是重量边界和形状和物体的表面。本文说明了它们的性质。 MSF的不变性适用于在缩放和旋转下的形状匹配。研究了MSF的应用,例如拐角检测和范围图像分割。

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