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Article:Adaptive Modeling of Digital Straightness Applied to Geometric Representation Enhancement

by Leoncio C. Barros Neto, AndrÈ R. Hirakawa, Antonio M. A. Massola
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 2
Year of Publication: 2010
Authors: Leoncio C. Barros Neto, AndrÈ R. Hirakawa, Antonio M. A. Massola
10.5120/1452-1963

Leoncio C. Barros Neto, AndrÈ R. Hirakawa, Antonio M. A. Massola . Article:Adaptive Modeling of Digital Straightness Applied to Geometric Representation Enhancement. International Journal of Computer Applications. 10, 2 ( November 2010), 31-39. DOI=10.5120/1452-1963

@article{ 10.5120/1452-1963,
author = { Leoncio C. Barros Neto, AndrÈ R. Hirakawa, Antonio M. A. Massola },
title = { Article:Adaptive Modeling of Digital Straightness Applied to Geometric Representation Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 2 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 31-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number2/1452-1963/ },
doi = { 10.5120/1452-1963 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:45.791947+05:30
%A Leoncio C. Barros Neto
%A AndrÈ R. Hirakawa
%A Antonio M. A. Massola
%T Article:Adaptive Modeling of Digital Straightness Applied to Geometric Representation Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 2
%P 31-39
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For representing of digitized straight line segments (DSLS), each of the available research techniques has its advantages and appropriate applications considering the complexities of real world scenarios. Based on adaptive finite automaton (AFA), we propose an alternative paradigm that is convenient for problems modeled by a set of rules. The main objective is to investigate the representation of DSLS through adaptivity, aiming to exploit the ability to represent tolerances, scalability, errors and deviations in angle or in length of the mentioned segments through a device called adaptive DSLS, for short ADSLS. Consequently, ADSLS is shown to be effective to represent segments; furthermore, it is able to adapt, reacting to circumstance stimuli in a single pass.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital Geometry Learning and Adaptive Systems Pattern Recognition Automata Classification Error Recovery

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