Results 141 to 150 of about 4,889 (184)

On the inverse Hough transform

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
In 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
openaire   +1 more source

Fuzzy Hough transform

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.
exaly   +3 more sources

Hough Transform from the Radon Transform

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1981
An 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.
exaly   +3 more sources

Optical Hough transform

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
openaire   +2 more sources

Parametrization of the Hough Transform

1989
The Hough transform is used in picture processing for detecting linear structures in binary images. It associates to each line running through the image the integral along this line of the gray value function. There are many different possibilities for parametrizing lines in the plane and, depending on the applications under consideration, there exist ...
Ulrich Eckhardt, Gerd Maderlechner
openaire   +1 more source

In defense of the Hough transform

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
The 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
openaire   +1 more source

Projection of the Hough Transform

1987
The 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
openaire   +1 more source

Antialiasing the Hough transform

CVGIP: Graphical Models and Image Processing, 1991
Abstract The discretization of the Hough transform parameter plane is considered. It is shown that the popular accumulator method implies sampling of a nonbandlimited signal. The resultant aliasing accounts for several familiar difficulties in the algorithm. Bandlimiting the parameter plane would allow Nyquist sampling, thus aliasing could be avoided.
Nahum Kiryati, Alfred M. Bruckstein
openaire   +1 more source

Performance prediction of the hough transform

Journal of Computer Science and Technology, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhanyi Hu, Songde Ma
openaire   +1 more source

On the hough transform of a polygon

Pattern Recognition Letters, 1996
It was recently shown that the Hough transform of a convex polygon uniquely determines it. In this note we generalize this result and lend further insight into why a non-convex polygon is, in general, not uniquely determined by its Hough transform.
openaire   +1 more source