Journal ArticleDOI
A Robust Hough Transform Technique for Complete Line Segment Description
Mohammed Atiquzzaman,M.W. Akhtar +1 more
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TLDR
A new algorithm is proposed for the determination of the length and the end points of a line in an image that is very efficient in terms of computing time and does not depend on the sharpness of the peak in the accumulator array.Abstract:
When the Hough transform is applied to the detection of straight lines in images, it provides the parameters but not the length or the end points of the line. We propose a new algorithm for the determination of the length and the end points of a line in an image. It is very efficient in terms of computing time and does not depend on the sharpness of the peak in the accumulator array.read more
Citations
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IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
Journal ArticleDOI
Extended Hough transform for linear feature detection
TL;DR: A new extension to the Hough transform was developed and reported on its application to building extraction, and a Bayesian probabilistic approach was used to process the extended Hough space that further increased the accuracy of this extended HT transform.
Journal ArticleDOI
Accurate and Robust Line Segment Extraction Using Minimum Entropy With Hough Transform
TL;DR: A method based on minimum-entropy analysis is proposed to extract the set of parameters of a line segment detection is both accurate and robust in the presence of quantization error, background noise, or pixel disturbances.
Journal ArticleDOI
A novel Hough transform method for line detection by enhancing accumulator array
TL;DR: An improved Hough transform (HT) method is proposed to robustly detect line segments in images with complicated backgrounds, focusing on detecting line segments of distinct lengths, totally independent of prior knowledge of the original image.
Journal ArticleDOI
An Improved Hough Transform Neighborhood Map for Straight Line Segments
TL;DR: The proposed straight line segment neighborhood technique for the HT outperforms conventional straight line neighborhood methods currently used with existing HT variations and has a variety of interesting properties of high practical value.
References
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IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
Peer ReviewDOI
IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
Journal ArticleDOI
The Adaptive Hough Transform
John Illingworth,Josef Kittler +1 more
TL;DR: This correspondence illustrates the ideas of the Adaptive Hough Transform, AHT, by tackling the problem of identifying linear and circular segments in images by searching for clusters of evidence in 2-D parameter spaces and shows that the method is robust to the addition of extraneous noise.
Journal ArticleDOI
Discretization errors in the Hough transform
T. M. van Veen,Frans C. A. Groen +1 more
TL;DR: The Hough transform was improved by O'Gorman and Clowes by taking into account the gradient direction and the resulting scatter of the peaks can be reduced by using a weighting function in the transform.
Journal ArticleDOI
Inherent Bias and Noise in the Hough Transform
TL;DR: Considering the Hough transformation as a linear imaging process recasts certain well-known problems, provides a useful vocab-ulary, and possibly indicates a source of applicable literature on the behavior of the H Dough transformation in various forms of noise.
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Use of the Hough transformation to detect lines and curves in pictures
Richard O. Duda,Peter E. Hart +1 more