High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation

Wedowski, Raphael; Farooq, Abdul; Smith, Lyndon; Smith, Melvyn

Abstract

We propose a new high speed line tracing algorithm based on a well known differential geometric line extraction algorithm. The previously separate steps of line detection and line tracing are performed simultaneously. This allows the exclusion of non-candidates from processing. Exploiting the inherent continuity of lines and using extracted line characteristics in subsequent detection/tracing also solves the problem of multiple, computationally expensive scale space iterations. Consequently, processing time is shown to be reduced by up to a factor of fifty. Furthermore, the extraction is very sensitive as hard to set global thresholds are no longer required. In the context of these proposals, we also review methods to identify the pixel-wise line orientation. The previously used orientation of maximum second derivative proved to suffer from systematic errors, whereas, our two novel methods proved more reliable. Our algorithm is designed for images containing only a single line but can be applied to images with multiple lines, especially if the global image structure is known. © 2010 IEEE.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Proceedings of the 2010 International Conference on High Performance Computing and Simulation, HPCS 2010
• Publication Date: Sep 28, 2010
• Deposit Date: Nov 18, 2010
• Publicly Available Date: Apr 12, 2016
• Peer Reviewed: Not Peer Reviewed
• Pages: 410-417
• Book Title: International Conference on High Performance Computing and Simulation (HPCS), 2010
• ISBN: 9781424468270
• DOI: https://doi.org/10.1109/HPCS.2010.5547105
• Keywords: curve tracing, gaussian scale space, high speed, line detection, sub-pixel
• Public URL: https://uwe-repository.worktribe.com/output/976716
• Publisher URL: http://dx.doi.org/10.1109/HPCS.2010.5547105
• Additional Information: Additional Information : Copyright © 2010 IEEE. Reprinted from International Conference on High Performance Computing and Simulation (HPCS), 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of the West of England (UWE's) products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [e-mail]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
• Contract Date: Apr 12, 2016