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Hough transform - Wikipedia
https://en.wikipedia.org/wiki/Hough_transform
webThe Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.
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Hough Transform. A comprehensive guide to edge detection
https://medium.com/@st1739/hough-transform-287b2dac0c70
webSep 27, 2019 · Hough transform is a feature extraction method used in image analysis. Hough transform can be used to isolate features of any regular curve like lines, circles, ellipses, etc. Hough transform...
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A Complete Guide on Hough Transform - Analytics Vidhya
https://www.analyticsvidhya.com/blog/2022/06/a-complete-guide-on-hough-transform/
webAug 18, 2023 · Hough Transform is a computer vision technique to detect shapes like lines and circles in an image. It converts these shapes into mathematical representations in a parameter space, making it easier to identify them even if they’re broken or obscured.
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OpenCV: Hough Line Transform
https://docs.opencv.org/3.4/d9/db0/tutorial_hough_lines.html
webJan 8, 2013 · Hough Line Transform . The Hough Line Transform is a transform used to detect straight lines. To apply the Transform, first an edge detection pre-processing is desirable. How does it work? As you know, a line in the image space can be expressed with two variables. For example: In the Cartesian coordinate system: Parameters: \((m,b)\).
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Image Transforms - Hough Transform - University of Edinburgh
https://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm
webThe Hough transform is a technique which can be used to isolate features of a particular shape within an image. Because it requires that the desired features be specified in some parametric form, the classical Hough transform is most commonly used for the detection of regular curves such as lines, circles, ellipses, etc.
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Hough transform - MATLAB hough - MathWorks
https://www.mathworks.com/help/images/ref/hough.html
webThe Hough transform matrix, H, is nrho-by-ntheta where: nrho = 2*(ceil(D/RhoResolution)) + 1 , and D = sqrt((numRowsInBW - 1)^2 + (numColsInBW - 1)^2) . rho values range from -diagonal to diagonal , where diagonal = RhoResolution*ceil(D/RhoResolution) .
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A Survey on Hough Transform, Theory, Techniques and …
https://arxiv.org/pdf/1502.02160v1
web1. Introduction. In 1962 Paul Hough introduced an efficient method for detecting lines in binary images [1]. Spatially extended patterns are transformed to produce compact features in a parameter space.
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OpenCV: Hough Line Transform
https://docs.opencv.org/4.x/d6/d10/tutorial_py_houghlines.html
web5 days ago · The Hough Transform is a popular technique to detect any shape, if you can represent that shape in a mathematical form. It can detect the shape even if it is broken or distorted a little bit. We will see how it works for a line.
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A Survey on Hough Transform, Theory, Techniques and Applications
https://arxiv.org/abs/1502.02160
web[Submitted on 7 Feb 2015] A Survey on Hough Transform, Theory, Techniques and Applications. Allam Shehata Hassanein, Sherien Mohammad, Mohamed Sameer, Mohammad Ehab Ragab. For more than half a century, the Hough transform is ever-expanding for new frontiers. Thousands of research papers and numerous applications …
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Hough Transform | SpringerLink
https://link.springer.com/referenceworkentry/10.1007/978-1-4419-9863-7_1310
webThe Hough transform (HT) is a coordinate transformation introduced by Hough (Hough 1962 ). It is useful in computer vision as a method for retrieving shapes within digital images. It was first conceived for lines, circumferences, and simple polygons (Duda and Hart 1972) and later generalized to arbitrary shapes (Ballard 1981 ).
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