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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Main Author:	Qussay, Abbas Salih Al-Badri
Format:	Thesis
Language:	English English
Published:	2001
Subjects:
Online Access:	http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf
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id	my-upm-ir.11171
record_format	uketd_dc
spelling	my-upm-ir.111712024-05-30T08:58:43Z Simulation Models for Straight Lines Images Detection Using Hough Transform 2001-04 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 http://psasir.upm.edu.my/id/eprint/11171/ http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf text en public masters Universiti Putra Malaysia Faculty of Engineering Ramli, Abdul Rahman English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	Ramli, Abdul Rahman
topic
spellingShingle	Qussay, Abbas Salih Al-Badri Simulation Models for Straight Lines Images Detection Using Hough Transform
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.
format	Thesis
qualification_level	Master's degree
author	Qussay, Abbas Salih Al-Badri
author_facet	Qussay, Abbas Salih Al-Badri
author_sort	Qussay, Abbas Salih Al-Badri
title	Simulation Models for Straight Lines Images Detection Using Hough Transform
title_short	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_sort	simulation models for straight lines images detection using hough transform
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2001
url	http://psasir.upm.edu.my/id/eprint/11171/1/FK_2001_56.pdf
_version_	1804888619347869696

Simulation Models for Straight Lines Images Detection Using Hough Transform

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