Generic sign board detection in images
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Accuracy of the straight line Hough transform: the non-voting approach
Computer Vision and Image Understanding
Analysis of the inclination of elongated biological objects: microtubules
Machine Graphics & Vision International Journal
Preserving topological information in the windowed hough transform for rectangle extraction
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Line segments and dominate points detection based on hough transform
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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The application of Hough Transform (HT) has been limited to small-size images for a long time. For large-size images, the peak detection and the line verification become much more time-consuming. Many HT-based line detection methods are not able to detect line width. Thispaper proposes a new approach for detecting line segments using HT, which makes HT applicable to large-size images, especially for those applications whose line width is critical. Our approach applies a boundary recorder to eliminate redundant analyses, and employs an image-analysis-based line-verification method to overcome the difficulty of using a threshold to distinguish short lines from noise. It avoids the overlapping lines by removing the pixels of detected line segments, which is more robust than only clearing the N 脳 N neighborhood. This approach could be easily extended to improved HT methods that perform the global accumulation. The experimental result shows that this approach is very time-efficient for large-size images.