Results 131 to 140 of about 7,242 (173)
Some of the next articles are maybe not open access.
On classical and fuzzy Hough transform in colonoscopy image processing
2021 IEEE AFRICON, 2021Hough 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 +2 more
exaly +2 more sources
Fuzzy cell Hough transform for curve detection
Pattern Recognition, 1997In 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
exaly +2 more sources
Fuzzy Hough transform and an MLP with fuzzy input/output for character recognition
Fuzzy Sets and Systems, 1999Abstract 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
A fuzzy probabilistic model for the generalized Hough transform
IEEE Transactions on Systems, Man, and Cybernetics, 1994A 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), 2016Hough 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, Arkady Al Zhiznyakov
exaly +2 more sources
Boundary Recognition of an Aperture Based on Fuzzy Fast Hough Transform
Guangzi Xuebao/Acta Photonica Sinica, 2010A new fuzzy fast Hough transform is proposed to detect the circular boundary of Labyrinth disc aperture in an aeroengine.In the new algorithm,the circle detection problem is decomposed into two stages consisting of a 2D Hough transform to find circle centre and a 1D Hough transform to determine the radius.The 2D Hough transform performs a hierarchical ...
孙慧贤 SUN Hui-xian +2 more
exaly +2 more sources
Fuzzy generalized hough transform invariant to rotation and scale in noisy environment
2009 IEEE International Conference on Fuzzy Systems, 2009Generalized Hough Transform (GHT) is an efficient method for detecting curves by exploiting the duality between points on a curve and parameters of that curve. However GHT has some practical limitations such as high computational cost and huge memory requirement for detecting scaled and rotated objects.
Mohammad Mehdi Ebadzadeh
exaly +2 more sources
A FUZZY HOUGH TRANSFORM APPROACH TO SHAPE DESCRIPTION
International Journal of Image and Graphics, 2002To use the Hough transform to detect shapes we need to accumulate votes for the edge passing a specific bin. Most existing Hough transform techniques use a sharp (crisp) cutoff to determine whether the bin has received a vote or not. This results in considerable errors.
R. Soodamani, Zhi-Qiang Liu
openaire +1 more source
Randomized fuzzy cell Hough transform
Proceedings of 6th International Fuzzy Systems Conference, 2002Randomized 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 +1 more source
The fuzzy Hough transform-feature extraction in medical images
IEEE Transactions on Medical Imaging, 1994Identification of anatomical features is a necessary step for medical image analysis. Automatic methods for feature identification using conventional pattern recognition techniques typically classify an object as a member of a predefined class of objects, but do not attempt to recover the exact or approximate shape of that object. For this reason, such
Karun P. Philip +5 more
openaire +2 more sources