Mathematical morphology: A useful set of tools for image analysis
Mathematical morphology: A useful set of tools for image analysis
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DOI：
10.1023/a:1008990208911
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发表时间：
2000-04-01
影响因子：
2.2
通讯作者：
Talbot, H
中科院分区：
文献类型：
--
作者：
Breen, EJ;Jones, R;Talbot, H
在本文中，我们给出了一个概述的经典和更现代的形态学技术。我们将通过一系列实际例子来证明它们的实用性。在讨论了基本的形态学思想后，我们展示了经典的形态学开放和封闭过滤器如何通过粒度测量来测量尺寸，我们将简要讨论它们的实现。我们还提出了一个形态分割技术的概述，并使用连接的开口和细化将被证明。然后，这使我们进入最近的集理论概念的图形为基础的方法来图像分析。
In this paper we give an overview of both classical and more modern morphological techniques. We will demonstrate their utility through a range of practical examples. After discussing the fundamental morphological ideas, we show how the classic morphological opening and closing filters lead to measures of size via granulometries, and we will discuss briefly their implementation. We also present an overview of morphological segmentation techniques, and the use of connected openings and thinnings will be demonstrated. This then leads us into the more recent set-theoretic notions of graph based approaches to image analysis.