Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Existence and Detection of Invariant Feature Associated with Conditional Distribution Induced by Self-Similar Patterns
Kohji KAMEJIMA
Author information
JOURNALS FREE ACCESS

1996 Volume 9 Issue 10 Pages 449-456

Details
Abstract

A method is presented for detecting self-similar patterns. A version of conditional distribution is introduced to self-similar patterns for representing computable morphological feature. The morphological feature associated with accurately observed attractor is proved to yield a subset that is invariant with respect to self-similarity mapping. The invariant feature is demonstrated to activate an imaging process for generating proximately located attractor. An algorithm was developed for computing invariant feature and verified through simulation study.

Information related to the author
© The Institute of Systems, Control and Information Engineers
Previous article Next article
feedback
Top