MORPHOLOGICAL REPRESENTATION OF ORDER-STATISTICS FILTERS

被引：2
|
作者：
CHARIFCHEFCHAOUNI, M
SCHONFELD, D
机构：
[1] Signal and Image Research Laboratory, Department of Electrical Engineering and Computer Science, University of Illinois at Chicago
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 06期
关键词：
Morphological representation - Order statistics filters;
D O I：
10.1109/83.388087
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this correspondence, we propose a comprehensive theory for the morphological bounds on order-statistics filters (and their repeated iterations). Conditions are derived for morphological openings and closings to serve as bounds (lower and upper, respectively) on order-statistics filters (and their repeated iterations). Under various assumptions, morphological open-closings and close-openings are also shown to serve as (tighter) bounds (lower and upper, respectively) on iterations of order-statistics filters. Simulations of the application of the results presented to image restoration are finally provided.
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页码：838 / 845
页数：8
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