Grey-scale morphology based on fuzzy logic

被引:82
作者
Deng, TQ [1 ]
Heijmans, HJAM
机构
[1] Harbin Inst Technol, Dept Math, Harbin 150001, Peoples R China
[2] CWI, NL-1090 GB Amsterdam, Netherlands
关键词
mathematical morphology; image processing; fuzzy logic; complete lattice; adjunction; conjunction; implication; dilation; erosion; negation;
D O I
10.1023/A:1013999431844
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There exist several methods to extend binary morphology to grey-scale images. One of these methods is based on fuzzy logic and fuzzy set theory. Another approach starts from the complete lattice framework for morphology and the theory of adjunctions. In this paper, both approaches are combined. The basic idea is to use (fuzzy) conjunctions and implications which are adjoint in the definition of dilations and erosions, respectively. This gives rise to a large class of morphological operators for grey-scale images. It turns out that this class includes the often used grey-scale Minkowski addition and subtraction.
引用
收藏
页码:155 / 171
页数:17
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