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

机译:差分形态分解分割: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:为了描述以提取图像信息内容,分段是一种以对象表示信息的众所周知的方法。图像分割是一种常见的图像处理技术,旨在将图像分解成其支持物的分区。模糊分割的层次结构是分割定义的扩展,以便使用重叠的片段来覆盖图像支持。在本文中,我们提出了一种将图像分解为多尺度重叠对象的新颖方法。图像通过粒度分析法或微分形态金字塔分解,产生离散的比例空间表示。然后,通过基于区域的方法对比例空间变换进行分割。将获得的比例空间分区投影到空间中构成分解的图像表示,这使得能够进行基于多比例对象的图像描述。

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