IMAGE-ANALYSIS USING MATHEMATICAL MORPHOLOGY
IMAGE-ANALYSIS USING MATHEMATICAL MORPHOLOGY
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DOI：
10.1109/tpami.1987.4767941
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发表时间：
1987-07-01
影响因子：
23.6
通讯作者：
ZHUANG, XH
中科院分区：
文献类型：
--
作者：
HARALICK, RM;STERNBERG, SR;ZHUANG, XH
对于工业视觉应用中所需的物体或缺陷识别的目的，数学形态学的操作比信号处理中采用的卷积操作更有用，因为形态学算子直接与形状相关。本文提供的教程回顾了二进制形态学和灰度形态学，涵盖了膨胀，腐蚀，打开和关闭的操作及其关系。每个形态的概念和解释给出了许多他们的相互关系的例子。
For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape. The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Examples are given for each morphological concept and explanations are given for many of their interrelationships.