非递增集合算子的平面形态算子,I:一般理论

C. Ronse
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引用次数: 2

摘要

平面形态学是从二值图像(或集)上的递增算子得到灰度或多值图像上的递增算子的一种通用方法。它依赖于阈值叠加;同样地,布尔值的最大和最小操作被格理论的sup和inf操作所取代。在本文中,我们考虑了在灰度或彩色图像上由不递增的二值图像上的算子构造平面算子。在这里,灰度图像和彩色图像都是从空间到区间的函数,在一个空间到一个区间(m≥1)。提出了两种方法。首先,我们可以用阈值求和代替阈值叠加。接下来,我们可以将二值图像上的非递增算子分解为递增算子的线性组合,然后将这个线性组合应用于二值图像的平面扩展。这两种方法都要求算子具有有界变分,然后都得到相同的结果,这符合直觉。我们的方法是非常通用的,它可以应用于平面算子的线性组合,或者线性卷积滤波器。我们的工作是基于一个数学理论的一个变量的实值函数的求和范围在一个偏置集。在第二篇论文中,我们将研究非递增平面算子的一些特殊性质。
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Flat morphological operators from non-increasing set operators, I: general theory
Abstract Flat morphology is a general method for obtaining increasing operators on grey-level or multivalued images from increasing operators on binary images (or sets). It relies on threshold stacking and superposition; equivalently, Boolean max and min operations are replaced by lattice-theoretical sup and inf operations. In this paper we consider the construction a flat operator on grey-level or colour images from an operator on binary images that is not increasing. Here grey-level and colour images are functions from a space to an interval in ℝm or ℤm (m ≥ 1). Two approaches are proposed. First, we can replace threshold superposition by threshold summation. Next, we can decompose the non-increasing operator on binary images into a linear combination of increasing operators, then apply this linear combination to their flat extensions. Both methods require the operator to have bounded variation, and then both give the same result, which conforms to intuition. Our approach is very general, it can be applied to linear combinations of flat operators, or to linear convolution filters. Our work is based on a mathematical theory of summation of real-valued functions of one variable ranging in a poset. In a second paper, we will study some particular properties of non-increasing flat operators.
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