Upper and Lower Grey-Level Adaptive Morphological Operators

Corinne Vachier
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引用次数: 5

Abstract

Morphological operators designed for grey-scale functions process every points of the space identically whatever their luminance. In many situations however, it is interesting to modulate the amount of processing according to the local grey-level. This leads to the idea of intensity-adaptive morphological operators. A simple way to construct such operators is to threshold the function at every grey-value, then to apply set operators to the level sets obtained in this way, and finally to reconstruct a new transformed function from the transformed level sets. The reconstruction's step is not straightforward since the transformed level sets are not obligatorily nested. Two schemes of stacking reinvestigated in the present paper that lead to two kinds of intensity-adaptive operators: the upper and  lower adaptive operators. Those operators are complementary in the sense that, by coupling, one defines adjunctions and consequently, by composition, one defines intensity-adaptive morphological openings and closings. The theoretical study of grey-level adaptive morphological operators is supplemented of some examples that illustrate the potential of the investigated operators in image filtering applications.
上下灰度自适应形态学算子
为灰度函数设计的形态学算子对空间的每个点进行处理,无论其亮度如何。然而,在许多情况下,根据局部灰度级别调整处理量是很有趣的。这导致了强度自适应形态学算子的概念。构造这种算子的一种简单方法是在每个灰度值处对函数设置阈值,然后对以这种方式得到的水平集应用集合算子,最后从变换后的水平集重构一个新的变换后的函数。重建的步骤并不简单,因为转换后的级别集没有强制嵌套。本文重新研究了两种叠加方案,得到了两种强度自适应算子:上自适应算子和下自适应算子。这些操作符在某种意义上是互补的,通过耦合,人们定义了修饰,因此,通过组合,人们定义了自适应强度的形态开口和闭合。本文对灰度自适应形态学算子的理论研究进行了补充,并举例说明了所研究算子在图像滤波应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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