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Reseach Article

Generalized Hough Transform for Shape Matching

by Cecilia Di Ruberto
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 1
Year of Publication: 2012
Authors: Cecilia Di Ruberto
10.5120/7312-9885

Cecilia Di Ruberto . Generalized Hough Transform for Shape Matching. International Journal of Computer Applications. 48, 1 ( June 2012), 19-22. DOI=10.5120/7312-9885

@article{ 10.5120/7312-9885,
author = { Cecilia Di Ruberto },
title = { Generalized Hough Transform for Shape Matching },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 1 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number1/7312-9885/ },
doi = { 10.5120/7312-9885 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:58.516434+05:30
%A Cecilia Di Ruberto
%T Generalized Hough Transform for Shape Matching
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 1
%P 19-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we propose a novel approach towards shape matching for image retrieval. The system takes advantages of generalized Hough transform, as it works well in detecting arbitrary shapes even in the presence of gaps and in handling rotation, scaling and shift variations, and solves the heavy computational aspect by introducing a preliminary automatic selection of the appropriate contour points to consider in the matching phase. The numerical simulations and comparisons have confirmed the effectiveness and the efficiency of the method proposed.

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Index Terms

Computer Science
Information Sciences

Keywords

Hough Transform Image Retrieval Dominant Point Polygonal Approximation Shape Matching