N-ary Mathematical Morphology

被引:0
|
作者
Chevallier, Emmanuel [1 ]
Chevallier, Augustin [2 ]
Angulo, Jesus [1 ]
机构
[1] PSL Res Univ, MINES ParisTech, CMM, Paris, France
[2] Ecole Normale Super, Cachan, France
来源
MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING | 2015年 / 9082卷
关键词
Mathematical morphology; Labeled images; Image filtering; OPERATORS; IMAGES;
D O I
10.1007/978-3-319-18720-4_29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mathematical morphology on binary images can be fully described by set theory. However, it is not sufficient to formulate mathematical morphology for grey scale images. This type of images requires the introduction of the notion of partial order of grey levels, together with the definition of sup and inf operators. More generally, mathematical morphology is now described within the context of the lattice theory. For a few decades, attempts are made to use mathematical morphology on multivariate images, such as color images, mainly based on the notion of vector order. However, none of these attempts has given fully satisfying results. Instead of aiming directly at the multivariate case we propose an extension of mathematical morphology to an intermediary situation: images composed of a finite number of independent unordered labels.
引用
收藏
页码:339 / 350
页数:12
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