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Morphological operations by locally variable structuring elements and their applications to region extraction in ultrasound images

机译:局部可变结构元素的形态学运算及其在超声图像区域提取中的应用

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In this paper, we define a new adaptive morphological operation, in which the value of a structuring element varies adaptively depending on the local intensity information of the processing image of interest. We prove that the proposed adaptive morphological operation has almost the same mathematical structure and properties as the conventional ones have. There are many useful functions in the method. Among them are the opening and closing, which implement both smoothing of the image and emphasizing of the edges at a time. Conventional opening operation has a smoothing function but not both. Applying our method to relatively unclear images such as ultrasound ones with speckle noise, its usefulness can be found in extracting regions. We also discuss parameter setting, and its enhancement effect together with experimental results is demonstrated.
机译:在本文中,我们定义了一种新的自适应形态学运算,其中结构元素的值根据感兴趣的处理图像的局部强度信息自适应地变化。我们证明,提出的自适应形态学运算具有与常规形态学几乎相同的数学结构和性质。该方法中有许多有用的功能。其中包括打开和关闭,可同时实现图像的平滑和边缘的强调。常规的打开操作具有平滑功能,但不能同时具有两者的功能。将我们的方法应用于相对模糊的图像(例如带有斑点噪声的超声图像),可以在提取区域中找到其有用性。我们还将讨论参数设置,并演示其增强效果以及实验结果。

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