斑点图像建模和对象选择

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2021-03-24 DOI:10.1109/DSPA51283.2021.9535953

V. Volkov

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引用次数: 0

摘要

考虑了包含感兴趣的紧凑目标的散斑图像建模问题。分析了一种现象学模型，研究了模型参数与散斑相关性质描述符之间的关系。提出了一种基于散斑模式的感兴趣对象建模算法。该算法用于散斑图像的目标提取。在模型图像和真实图像中分别考虑了多阈值处理对感兴趣目标的选择。本文给出了用多阈值处理方法在散斑图像中进行目标检测和选择的新结果，并在模型图像和真实图像中进行了说明。

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Speckle Image Modeling and Selection of Objects

The problem of speckle images modeling containing compact objects of interest is considered. One of phenomenological models is analyzed, and the relationship between the model parameters and the descriptors of the correlation properties of speckles is studied. An algorithm for modeling objects of interest on speckle patterns is proposed. This algorithm is used for object extraction in speckle images. The selection of objects of interest using multi-threshold processing in model and real speckle images are considered. The paper contains new results for object detection and selection in speckle images by means of multi-threshold processing which are illustrated in model and real speckle images.

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来源期刊

2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)

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