Extracting lines in noisy image using directional information
File version
Author(s)
Bischof, Walter F
Sanchez-Azofeifa, Arturo
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Tang, YY
Wang, SP
Lorette, G
Yeung, DS
Yan, H
Date
Size
325999 bytes
File type(s)
application/pdf
Location
Hong Kong, PEOPLES R CHINA
License
Abstract
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method
Journal Title
Conference Title
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS
Book Title
Edition
Volume
2
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Item Access Status
Note
Access the data
Related item(s)
Subject
Image processing