Block decomposition and segmentation for fast Hough transform evaluation

Citation
Sj. Perantonis et al., Block decomposition and segmentation for fast Hough transform evaluation, PATT RECOG, 32(5), 1999, pp. 811-824
Citations number
25
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION
ISSN journal
00313203 → ACNP
Volume
32
Issue
5
Year of publication
1999
Pages
811 - 824
Database
ISI
SICI code
0031-3203(199905)32:5<811:BDASFF>2.0.ZU;2-U
Abstract
The decomposition of binary images using rectangular blocks of foreground p ixels as primitives is considered. Based on this type of decomposition, a f ast method for evaluating the Hough transform is introduced. A complexity a nalysis of the proposed block Hough transform algorithm sets constraints on the complexity of algorithms used for block decomposition, so that the tot al decomposition and Hough transform application time is much less than the time consumed by the usual point Hough transform. Using this analysis, we propose two algorithms for the decomposition and segmentation of binary ima ges into rectangular blocks. A combination of these methods leads to signif icant acceleration in the identification of linear features, which is demon strated in various image processing experiments. (C) 1999 Pattern Recogniti on Society. Published by Elsevier Science Ltd. All rights reserved.