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A Brief Account of the Relations between Gray-Scale Mathematical Morphologies

机译:灰度数学形态之间的关系的简要说明

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Mathematical morphology was originally conceived as a set theoretic approach for the processing of binary images. Approaches that extend classical binary morphology to gray-scale images are either based on umbras, thresholds, level sets, or fuzzy sets. Complete lattices form a general framework for all of these approaches. This paper discusses and compares several approaches to gray-scale mathematical morphology including the threshold, umbra, and level set approaches as well as fuzzy approaches.
机译:数学形态学最初被认为是一种用于处理二进制图像的集合理论方法。将经典二进制形态扩展到灰度图像的方法是基于本影,阈值,水平集或模糊集。完整的格子构成了所有这些方法的通用框架。本文讨论并比较了几种灰度数学形态学方法,包括阈值,本影和水平集方法以及模糊方法。

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