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首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >Method of Arithmetical Thresholding of Images
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Method of Arithmetical Thresholding of Images

机译：图像的算术阈值处理方法

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摘要

A new concept of weighted thresholding is considered and a new set-theoretical representation of signals and images is described, that can be used for design of new nonlinear and morphological niters. Such representation maps many operations of nonbinary signal and image processing to the union of simple operations over the binary signals. The weighted thresholding is invariant under the morphological transformation, including such basic operations as the erosion and dilation. The main idea of using the weighted thresholding is in the choice of a special few levels of thresholding on which we can process the signals and images. We focus on the arithmetical weighted thresholding, but other thresholding, including the geometrical, probability-based, and the so-called Fibonacci series based thresholding, are also considered. Properties of these kinds of thresholding are described. Experimental results show that the weighted thresholding is very promising and can be used for many applications, such as image enhancement and edge detection.
机译：考虑了加权阈值的新概念，并描述了信号和图像的新的集理论表示，可用于设计新的非线性和形态特征。这样的表示将非二进制信号和图像处理的许多操作映射到二进制信号上的简单操作的并集。加权阈值在形态变换下是不变的，包括侵蚀和膨胀等基本操作。使用加权阈值的主要思想是选择一些特殊级别的阈值，在这些级别上我们可以处理信号和图像。我们将重点放在算术加权阈值上，但是还考虑了其​​他阈值，包括基于几何的，基于概率的以及所谓的基于Fibonacci级数的阈值。描述了这类阈值的属性。实验结果表明，加权阈值技术非常有前途，可用于许多应用，例如图像增强和边缘检测。

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