Results 151 to 160 of about 4,889 (184)
Some of the next articles are maybe not open access.
Probabilistic approach to the Hough transform
Image and Vision Computing, 1990Abstract It is shown that there is a strong relationship between the Hough transform and the maximum likelihood method. The Probabilistic Hough Transform (PHT), a mathematically ‘correct’ form of the Hough transform, is defined as a likelihood function in the output parameters.
openaire +1 more source
Diagonal quantization for the Hough transform
Pattern Recognition Letters, 1993Abstract Selecting the proper quantization intervals of the Parameter Space (PS) can improve the accuracy and efficiency of the Hough Transform (HT) for image processing. This paper proposes a technique to generally define the quantization intervals of the PS for any parameterization of a line by considering only the greatest tolerance of the y or x ...
Dennis N. K. Leung +2 more
openaire +1 more source
A fresh look at the Hough transform
Pattern Recognition Letters, 1996In this paper we have taken a fresh look at the process of accumulation in the Hough Transform to show that for certain quantizations of the parameter space, the set of points in an image that accumulate a given accumulator bin belong to a discrete straight line.
AGRAWAL, RC +2 more
openaire +2 more sources
A new definition of the Hough transform
Journal of Computer Science and Technology, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhanyi Hu, Wei Wang, Yi Yang, Songde Ma
openaire +2 more sources
Hough Transform on Reconfigurable Meshes
Computer Vision and Image Understanding, 1995Abstract The Hough transform is an important image processing operation. Given an N × N digital image, we first present a parallel algorithm for computing the Hough transform in O((p/k) log N) time on a reconfigurable mesh of O(kN2) processors, 1 ≤ k ≤ p, where p is the number of angles to be considered.
Chung, K.L., H.Y.Lin
openaire +2 more sources
A comparison between the standard Hough Transform and the Mahalanobis distance Hough Transform
1994The Hough Transform is a class of medium-level vision techniques generally recognised as a robust way to detect geometric features from a 2D image. This paper presents two related techniques. First, a new Hough function is proposed based on a Mahalanobis distance measure that incorporates a formal stochastic model for measurement and model noise. Thus,
Chengping Xu, Sergio A. Velastin
openaire +1 more source
On improving the accuracy of the Hough transform
Machine Vision and Applications, 1990The subject of this paper is very high precision parameter estimation using the Hough transform. We identify various problems that adversely affect the accuracy of the Hough transform and propose a new, high accuracy method that consists of smoothing the Hough arrayH(ρ, θ) prior to finding its peak location and interpolating about this peak to find a ...
Wayne Niblack, Dragutin Petkovic
openaire +1 more source
The Hough-Based Multibeamlet Transform
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020There are plenty of geometrical multiresolution transforms devoted to efficient edge representation. However, they have two drawbacks. The first one is that such transforms represent mono edge models. And the second one is that they are often based on approximations which are optimal according to the Mean Square Error what does not necessarily lead to ...
openaire +1 more source
2019
The Hough Transform is widely used to detect parametrically described curves in an image that can contain noise or partial occlusion. It is shown how a two dimensional linear Hough Transform can be used to identify track candidates within the CMS tracker.
openaire +1 more source
The Hough Transform is widely used to detect parametrically described curves in an image that can contain noise or partial occlusion. It is shown how a two dimensional linear Hough Transform can be used to identify track candidates within the CMS tracker.
openaire +1 more source
The dynamic generalized hough transform
1990A new algorithm for computing the Hough transform has been presented. It uses information present in the location of the feature points to reduce the generation of evidence in the transform plane. The algorithm gives improved performance compared with the standard Hough transform. The improvement is in computation time and memory allocation.
openaire +1 more source