Scale-space from nonlinear filters

被引：39

作者：

Bangham, JA

Ling, PD

Harvey, R

机构：

[1] School of Information Systems, University of Eusi Angliu

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1996年 / 18卷 / 05期

关键词：

scale-space; image processing; morphology; vision; diffusion;

D O I：

10.1109/34.494641

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Decomposition by extrema is put into the context of linear vision systems and scale-space. It is proved that discrete one-dimensional, M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. They are robust and preserve edges of large scale features.

引用

页码：520 / 528

页数：9

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