Decomposition of arbitrarily shaped binary morphological structuring elements using genetic algorithms

被引：25

作者：

Anelli, G ^{[1
]}

Broggi, A ^{[1
]}

Destri, G ^{[1
]}

机构：

[1] Univ Parma, Dipartimento Ingn Informaz, I-43100 Parma, Italy

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1998年 / 20卷 / 02期

关键词：

mathematical morphology; arbitrarily shaped structuring element decomposition; genetic algorithms;

D O I：

10.1109/34.659943

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A number of different algorithms have been described in the literature for the decomposition of both convex binary morphological structuring elements and a specific subset of nonconvex ones. Nevertheless, up to now no deterministic solutions have been found to the problem of decomposing arbitrarily shaped structuring elements. This work presents a new stochastic approach based on Genetic Algorithms in which no constraints are imposed on the shape of the initial structuring element, nor assumptions are made on the elementary factors, which are selected within a given set.

引用

页码：217 / 224

页数：8

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