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Differential Morphological Decomposition Segmentation: A Multi-Scale Object Based Image Description

机译:差异形态分解分割:基于多尺度对象的图像描述

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In order to describe, to extract image information content, segmentation is a well-known approach to represent the information in terms of objects. Image segmentation is a common image processing technique aiming at disintegrating an image into a partition of its support. Hierarchical of fuzzy segmentation are extension of segmentation definition, in order to provide a covering of the image support with overlapping segments. In this paper, we propose a novel approach for breaking up an image into multi-scale overlapping objects. The image is decomposed by granulometry or differential morphological pyramid, resulting in a discrete scale-space representation. Then, the scale-space transform is segmented by a region based method. Projecting the obtained scale-space partition into space constitutes the disintegrated image representation, which enables a multi-scale object based image description.
机译:为了描述,为了提取图像信息内容,分割是一种众所周知的方法来代表对象的信息。图像分割是一种常见的图像处理技术,其旨在将图像解体到其支持的分区中。模糊分割的分层是分割定义的扩展,以便提供具有重叠段的图像支持的覆盖。在本文中,我们提出了一种用于将图像分解为多尺度重叠对象的新方法。图像通过粒度计或差分形态金字塔分解,导致离散量表空间表示。然后,通过基于区域的方法对刻度空间变换进行分割。将获得的刻度空间分区投影到空间构成了解体图像表示,其能够实现基于多尺度对象的图像描述。

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