Results 131 to 140 of about 817 (176)

Peru GDP real-time dataset (1994-2025): Tracking three decades of revisions. [PDF]

Data Brief
Cruz JJ, Winkelried D, Torres J.
europepmc   +1 more source

Conformation-specific monoclonal antibodies reveal early Tau structural intermediates in Alzheimer's disease. [PDF]

J Biol Chem
Tsaka G, Pagès AM, De Sousa CB, Lammertyn J, Walkiewicz G, Gomes LA, Imbrechts M, Tops S, Kolla R, Muwonge K, Vandenberghe R, Vanhoorelbeke K, von Arnim CAF, Geukens N, Rousseau F, Schymkowitz J, Spasic D, Thal DR, Thomas D, Winderickx J.   +19 more
europepmc   +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   +5 more sources

Fuzzy cell Hough transform for curve detection

Pattern Recognition, 1997
In this paper a new variation of Hough Transform is proposed. It can be used to detect shapes or contours in an image, with better accuracy, especially in noisy images. The parameter space of Hough Transform is split into fuzzy cells which are defined as fuzzy numbers.
Vassilios Chatzis, I Pitas
exaly   +3 more sources

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On classical and fuzzy Hough transform in colonoscopy image processing

2021 IEEE AFRICON, 2021
Hough transform is used to find lines on edge-filtered images that are given in parametric form. As the fuzzy extension of the Hough transform has been proven to be more robust in environments where the lines to be found by them are not strictly following the formula given by the parametric equation of the Hough transform due to noise and weak and ...
Szilvia Nagy, Raneem Ismail, Brigita Sziová   +2 more
exaly   +2 more sources

Fuzzy Hough transform and an MLP with fuzzy input/output for character recognition

Fuzzy Sets and Systems, 1999
Abstract A neuro-fuzzy system for character recognition using a fuzzy Hough transform technique is presented in this paper. For each character pattern, membership values are determined for a number of fuzzy sets defined on the standard Hough transform accumulator cells.
Shamik Sural, P. K. Das
exaly   +2 more sources

Randomized fuzzy cell Hough transform

Proceedings of 6th International Fuzzy Systems Conference, 2002
Randomized Hough transform (RHT) has been recently proposed as a new and efficient variation of the Hough transform for curve detection. In this paper the RHT is combined with the fuzzy cell Hough transform (FCHT) and a new variation, the randomized fuzzy cell Hough transform (RFCHT) is proposed.
V. Chatzis, I. Pitas
openaire   +2 more sources

A fuzzy probabilistic model for the generalized Hough transform

IEEE Transactions on Systems, Man, and Cybernetics, 1994
A fuzzy-probabilistic model of the generalized Hough transform (GHT) based on qualitative labeling of scene features is presented. Qualitative labeling of scene features is shown to be effective in pruning the search space of possible scene interpretations and also reducing the number of spurious interpretations explored by the GHT.
exaly   +2 more sources

Filtering of meaningful features of fuzzy hough transform

2016 Dynamics of Systems, Mechanisms and Machines (Dynamics), 2016
Hough Transform and its modifications are used to find straight lines or simple geometric figures on images. But this cannot prevent us from detecting not interesting objects completely. The paper introduces a novel method of filtering or fusion of straight lines after performing Fuzzy Hough Transform.
Egor Pugin, A L Zhiznyakov
exaly   +2 more sources