2010 International Conference on Computer Application and System Modeling (ICCASM 2010) 2010
DOI: 10.1109/iccasm.2010.5620827
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An improved Hough transform for line detection

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Cited by 43 publications
(12 citation statements)
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“…This algorithm is essentially a voting process where each point belonging to the patterns votes for all the possible patterns passing through that point. These votes are accumulated in an accumulator array called bins, and the pattern receiving the maximum votes is recognized as the desired pattern [25].…”
Section: Hough Transform In the Tomographic Plane Of 3-d Point Cloudsmentioning
confidence: 99%
“…This algorithm is essentially a voting process where each point belonging to the patterns votes for all the possible patterns passing through that point. These votes are accumulated in an accumulator array called bins, and the pattern receiving the maximum votes is recognized as the desired pattern [25].…”
Section: Hough Transform In the Tomographic Plane Of 3-d Point Cloudsmentioning
confidence: 99%
“…This method is used for shapes that can be expressed in a parametric space [16,17]. The figures we need to describe are often nonlinear, like circles, ellipses, etc.…”
Section: Feature Extractionmentioning
confidence: 99%
“…An improved Hough algorithm for line detection, which shares the comparative qualities of the modified Hough transform (MHT) and the Windowed random Hough transform (RHT) [ 28 ]. Hough transform (HT) has discovered monstrous viable applications in vision issues such as object detection, movement detection, biometric validation, medical imaging, remote information processing, and robot route [ 29 ]. Applying Hough transform formulation depends on the utilization of the inverse Radon operator, which decides the location and orientation of the lines in the image to the noise information image [ 30 ].…”
Section: Introductionmentioning
confidence: 99%