The application of Hough Transform for corner detection

Corners are very attractive features of many applications in human perception and computer vision. The problem of detecting corners is simplified into detecting simple lines in a local coordinate system. As simple lines can be expressed using only one parameter, Hough Transform can detect them quick...

Full description

Saved in:

Bibliographic Details
Main Author:	Jamaludin, Mohad Fuad
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/3804/1/MohdFuadJamaludinMFS2006.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.3804
record_format	uketd_dc
spelling	my-utm-ep.38042018-01-10T07:48:18Z The application of Hough Transform for corner detection 2006-04 Jamaludin, Mohad Fuad QA Mathematics Corners are very attractive features of many applications in human perception and computer vision. The problem of detecting corners is simplified into detecting simple lines in a local coordinate system. As simple lines can be expressed using only one parameter, Hough Transform can detect them quickly. Other edge detectors have some problems when marking edge points around corners. Based on both gradient magnitude threshold and grey level analysis, the edge points can be detected. Using the Sobel and Kirsch Operator, an image can be extracted and provide the edge points for Hough Transform. Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. To illustrate the problem, the interface program is developed by using Microsoft Visual C++ 6.0. 2006-04 Thesis http://eprints.utm.my/id/eprint/3804/ http://eprints.utm.my/id/eprint/3804/1/MohdFuadJamaludinMFS2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Jamaludin, Mohad Fuad The application of Hough Transform for corner detection
description	Corners are very attractive features of many applications in human perception and computer vision. The problem of detecting corners is simplified into detecting simple lines in a local coordinate system. As simple lines can be expressed using only one parameter, Hough Transform can detect them quickly. Other edge detectors have some problems when marking edge points around corners. Based on both gradient magnitude threshold and grey level analysis, the edge points can be detected. Using the Sobel and Kirsch Operator, an image can be extracted and provide the edge points for Hough Transform. Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. To illustrate the problem, the interface program is developed by using Microsoft Visual C++ 6.0.
format	Thesis
qualification_level	Master's degree
author	Jamaludin, Mohad Fuad
author_facet	Jamaludin, Mohad Fuad
author_sort	Jamaludin, Mohad Fuad
title	The application of Hough Transform for corner detection
title_short	The application of Hough Transform for corner detection
title_full	The application of Hough Transform for corner detection
title_fullStr	The application of Hough Transform for corner detection
title_full_unstemmed	The application of Hough Transform for corner detection
title_sort	application of hough transform for corner detection
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2006
url	http://eprints.utm.my/id/eprint/3804/1/MohdFuadJamaludinMFS2006.pdf
_version_	1747814472437727232

The application of Hough Transform for corner detection

Similar Items