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A probabilistic Hough transform
Pattern Recognition, 1991Abstract The Hough Transform for straight line detection is considered. It is shown that if just a small subset of the edge points in the image, selected at random, is used as input for the Hough Transform, the performance is often only slightly impaired, thus the execution time can be considerably shortened.
Nahum Kiryati, A M Bruckstein
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Pattern Recognition, 2015
In 1962 Hough earned the patent for a method 1], popularly called Hough Transform (HT) that efficiently identifies lines in images. It is an important tool even after the golden jubilee year of existence, as evidenced by more than 2500 research papers dealing with its variants, generalizations, properties and applications in diverse fields. The current
Priyanka Mukhopadhyay +1 more
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In 1962 Hough earned the patent for a method 1], popularly called Hough Transform (HT) that efficiently identifies lines in images. It is an important tool even after the golden jubilee year of existence, as evidenced by more than 2500 research papers dealing with its variants, generalizations, properties and applications in diverse fields. The current
Priyanka Mukhopadhyay +1 more
exaly +2 more sources
Pattern Recognition Letters, 1994
To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles. >
Laszlot Koczy
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To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles. >
Laszlot Koczy
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A survey of the hough transform
Computer Vision, Graphics, and Image Processing, 1988We present a comprehensive review of the Hough transform, HT, in image processing and computer vision. It has long been recognized as a technique of almost unique promise for shape and motion analysis in images containing noisy, missing, and extraneous data but its adoption has been slow due to its computational and storage complexity and the lack of a
ILLINGWORTH, J, KITTLER, J
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A combinatorial Hough transform
Pattern Recognition Letters, 1990Abstract A new algorithm for computing the Hough transform is presented. It calculates the parameters associated with all possible combinations of two-point line segments among the feature points in the image, rather than calculating all possible values of one of the parameters searched.
M B Sandler
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On the inverse Hough transform
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999In this paper, an inverse Hough transform algorithm is proposed. This algorithm reconstructs correctly the original image, using only the data of the Hough transform space and it is applicable to any binary image. As a first application, the inverse Hough transform algorithm is used for straight-line detection and filtering.
Anastasios L. Kesidis, Nikos Papamarkos
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Applied Optics, 1986
An optical technique is presented for achieving the Hough transform at video rates. Both coherent and incoherent approaches are discussed and analyzed. An incoherent system which combines edge enhancement with the Hough transform is also considered. Use of the optical Hough transform for the location of the bridges and roadways in outdoor scenes and ...
W H, Steier, R K, Shori
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An optical technique is presented for achieving the Hough transform at video rates. Both coherent and incoherent approaches are discussed and analyzed. An incoherent system which combines edge enhancement with the Hough transform is also considered. Use of the optical Hough transform for the location of the bridges and roadways in outdoor scenes and ...
W H, Steier, R K, Shori
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In defense of the Hough transform
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002The Hough transform has been a widely used technique for geometric primitive extraction. However, recently, a new family of techniques based on optimization, such as the genetic algorithm, the tabu search algorithm, the algorithm based on random samples of minimum subset, claimed their superiority over the Hough transform.
Zhanyi Hu, Yi Yang, Hung-Tat Tsui
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Hough Transform from the Radon Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1981An appropriate special case of a transform developed by J. Radon in 1917 is shown to have the major properties of the Hough transform which is useful for finding line segments in digital pictures. Such an observation may be useful in further efforts to generalize the Hough transform.
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Projection of the Hough Transform
1987The Hough (or Radon) transform in its classical form is used for identifying lines in binary images (Hough |7|, Deans |4|; Radon |8|). It can be interpreted as an evidence accumulation method. Its main advantage is that it is relatively insensitive to noise, even interrupted lines can be detected by means of it.
Ulrich Eckhardt, Gerd Maderlechner
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