Results 171 to 180 of about 57,221 (223)
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
We introduce the Adaptive Hough Transform, AHT, as an efficient way of implementing the Hough Transform, HT, method for the detection of 2-D shapes. The AHT uses a small accumulator array and the idea of a flexible iterative "coarse to fine" accumulation and search strategy to identify significant peaks in the Hough parameter spaces.
J Illingworth
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We introduce the Adaptive Hough Transform, AHT, as an efficient way of implementing the Hough Transform, HT, method for the detection of 2-D shapes. The AHT uses a small accumulator array and the idea of a flexible iterative "coarse to fine" accumulation and search strategy to identify significant peaks in the Hough parameter spaces.
J Illingworth
exaly +3 more sources
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
exaly +2 more sources
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
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 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. >
Han, J.H., Kóczy, LszlT., Poston, T.
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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. >
Han, J.H., Kóczy, LszlT., Poston, T.
exaly +3 more sources
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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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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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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