Results 171 to 180 of about 56,657 (221)
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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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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, J, Kittler
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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, J, Kittler
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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.
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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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Computer Vision and Image Understanding, 1993
Abstract The Hough transform is recognized as being a powerful tool in shape analysis which gives good results even in the presence of noise and occlusion. Major shortcomings of the technique are excessive storage requirements and computational complexity.
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Abstract The Hough transform is recognized as being a powerful tool in shape analysis which gives good results even in the presence of noise and occlusion. Major shortcomings of the technique are excessive storage requirements and computational complexity.
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1984
The Hough transform technique was originally a method for detecting, in images, lines and other shapes characterisable by analytic functions. It has recently been extended (primarily by Ballard) to handle the correlation of 2D and 3D shapes which have no analytic description.
Alan Bundy, Lincoln Wallen
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The Hough transform technique was originally a method for detecting, in images, lines and other shapes characterisable by analytic functions. It has recently been extended (primarily by Ballard) to handle the correlation of 2D and 3D shapes which have no analytic description.
Alan Bundy, Lincoln Wallen
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1997
Neben der im letzten Abschnitt besprochenen Hauptachsen- oder Karhunen-Loeve-Transformation kann auch die Hough-Transformation als Transformation ins Niederdimensionale aufgefast werden. Wie die Karhunen-Loeve-Transformation ist auch die Hough-Transformation nicht umkehrbar.
Thomas Lehmann +3 more
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Neben der im letzten Abschnitt besprochenen Hauptachsen- oder Karhunen-Loeve-Transformation kann auch die Hough-Transformation als Transformation ins Niederdimensionale aufgefast werden. Wie die Karhunen-Loeve-Transformation ist auch die Hough-Transformation nicht umkehrbar.
Thomas Lehmann +3 more
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2009
Proposed in 1962, the Hough transform (HT) has been widely applied and investigated for detecting curves, shapes, and motions in the fields of image processing and computer vision. However, the HT has several shortcomings, including high computational cost, low detection accuracy, vulnerability to noise, and possibility of missing objects. Many efforts
Lei Xu, Erkki Oja
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Proposed in 1962, the Hough transform (HT) has been widely applied and investigated for detecting curves, shapes, and motions in the fields of image processing and computer vision. However, the HT has several shortcomings, including high computational cost, low detection accuracy, vulnerability to noise, and possibility of missing objects. Many efforts
Lei Xu, Erkki Oja
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Gauge Inspection Using Hough Transforms
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983An automatic method of inspecting the scaling accuracy of needle-type instrument gauges using a two-stage Hough transform technique is described. The system measures and verifies the relative accuracy of a gauge's response to a specified set of analog input signals.
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