RECURSIVE SOFT MORPHOLOGICAL FILTERS

被引：16
作者：
SHIH, FY
PUTTAGUNTA, P
机构：
[1] Computer Vision Laboratory, Department of Computer and Information Science, New Jersey Institute of Technology, Newark
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 07期
关键词：
D O I：
10.1109/83.392345
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 present properties of recursive soft morphological filters that use previously filtered outputs as their inputs, cascade combinations of these filters, and the idempotent recursive soft morphological filters. The development allows problems in the implementation of cascaded recursive soft morphological filters to be reduced to the equivalent problems of a single recursive standard morphological filter.
引用
收藏
页码：1027 / 1032
页数：6
相关论文
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