@inproceedings{fe1ad1d5ca57463b887056700a3457ab,
title = "An improvement of the standard hough transform to detect line segments",
abstract = "The detection of lines in an image is an important task. The well-known Standard Hough Transform (SHT) and Progressive Probabilistic Hough Transform (PPHT) are two of the most efficient algorithms for line detection. SHT can detect almost straight lines in the image; moreover, it is highly resistant to noise. Line segments are found effectually by PPHT, but there are a few problems, resulting in this algorithm having lower accuracy than SHT. This paper proposes an extension of this robust algorithm to detect line segments accurately. The proposal contains three extensions: the technique of accumulation, the application of a local maxima rule in the SHT pace, and detection of line segments. The PPHT algorithm is used to compare the experimental results to the results of the proposed method.",
keywords = "Hough Transform, Line detection, Line segments, Progressive Probabilistic Hough Transform, Standard Hough Transform",
author = "Thuy, \{Tuong Nguyen\} and Xuan, \{Dai Pham\} and Jae, \{Wook Jeon\}",
year = "2008",
doi = "10.1109/ICIT.2008.4608701",
language = "English",
isbn = "9781424417063",
series = "Proceedings of the IEEE International Conference on Industrial Technology",
booktitle = "2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Conference Proceedings",
note = "2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 ; Conference date: 21-04-2008 Through 24-04-2008",
}