Simulation Models for Straight Lines Images Detection Using Hough Transform

The Hough transform (HT) is a robust parameter estimator of multidimensional features in images. The HT is an established technique which evidences a shape by mapping image edge points into a parameter space. Recently, the formulation of the HT has been extended to extract analytic arbitrary shapes...

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Bibliographic Details
Main Author: Qussay, Abbas Salih Al-Badri
Format: Thesis
Language:English
English
Published: 2001
Online Access:http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf
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author Qussay, Abbas Salih Al-Badri
author_facet Qussay, Abbas Salih Al-Badri
author_sort Qussay, Abbas Salih Al-Badri
collection UPM
description The Hough transform (HT) is a robust parameter estimator of multidimensional features in images. The HT is an established technique which evidences a shape by mapping image edge points into a parameter space. Recently, the formulation of the HT has been extended to extract analytic arbitrary shapes which change their appearance according to similarity transformations. It finds many applications in astronomical data analysis. It enables, in particular, to develop autoadaptive, fast algorithms for the detection of automated arc line identification. The HT is a technique which is used to isolate curves of a given shape in an image. The classical HT requires that the curve be specified in some parametric form and, hence is most commonly used in the detection of regular curves. The HT has been generalized so that it is capable of detecting arbitrary curved shapes.
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spelling upm.eprints-111712024-05-30T08:58:43Z http://psasir.upm.edu.my/id/eprint/11171/ Simulation Models for Straight Lines Images Detection Using Hough Transform Qussay, Abbas Salih Al-Badri The Hough transform (HT) is a robust parameter estimator of multidimensional features in images. The HT is an established technique which evidences a shape by mapping image edge points into a parameter space. Recently, the formulation of the HT has been extended to extract analytic arbitrary shapes which change their appearance according to similarity transformations. It finds many applications in astronomical data analysis. It enables, in particular, to develop autoadaptive, fast algorithms for the detection of automated arc line identification. The HT is a technique which is used to isolate curves of a given shape in an image. The classical HT requires that the curve be specified in some parametric form and, hence is most commonly used in the detection of regular curves. The HT has been generalized so that it is capable of detecting arbitrary curved shapes. 2001-04 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf Qussay, Abbas Salih Al-Badri (2001) Simulation Models for Straight Lines Images Detection Using Hough Transform. Masters thesis, Universiti Putra Malaysia. English
spellingShingle Qussay, Abbas Salih Al-Badri
Simulation Models for Straight Lines Images Detection Using Hough Transform
title Simulation Models for Straight Lines Images Detection Using Hough Transform
title_full Simulation Models for Straight Lines Images Detection Using Hough Transform
title_fullStr Simulation Models for Straight Lines Images Detection Using Hough Transform
title_full_unstemmed Simulation Models for Straight Lines Images Detection Using Hough Transform
title_short Simulation Models for Straight Lines Images Detection Using Hough Transform
title_sort simulation models for straight lines images detection using hough transform
url http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf
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