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The Hough transform [3] can be used to detect lines and the output is a parametric description of the lines in an image, for example ρ = r cos(θ) + c sin(θ). [1] If there is a line in a row and column based image space, it can be defined ρ, the distance from the origin to the line along a perpendicular to the line, and θ, the angle of the perpendicular projection from the origin to the ...
Similar calculations are carried out to determine pixel positions along a line with negative slope. Thus, if the absolute value of the slope is less than 1, we set dx=1 if x s t a r t < x e n d {\displaystyle x_{\rm {start}}<x_{\rm {end}}} i.e. the starting extreme point is at the left.
The Modelica Standard Library implements the algorithm in Modelica. The uniroot function implements the algorithm in R (software). The fzero function implements the algorithm in MATLAB. The Boost (C++ libraries) implements two algorithms based on Brent's method in C++ in the Math toolkit:
"The Bresenham Line-Drawing Algorithm", by Colin Flanagan; Abrash, Michael (1997). Michael Abrash's graphics programming black book. Albany, NY: Coriolis. pp. 654–678. ISBN 978-1-57610-174-2. A very optimized version of the algorithm in C and assembly for use in video games with complete details of its inner workings; Zingl, Alois (2016) [2012].
The algorithm consists of drawing pairs of pixels straddling the line, each coloured according to its distance from the line. Pixels at the line ends are handled separately. Lines less than one pixel long are handled as a special case. An extension to the algorithm for circle drawing was presented by Xiaolin Wu in the book Graphics Gems II ...
The Lambda2 method, or Lambda2 vortex criterion, is a vortex core line detection algorithm that can adequately identify vortices from a three-dimensional fluid velocity field. [1] The Lambda2 method is Galilean invariant , which means it produces the same results when a uniform velocity field is added to the existing velocity field or when the ...
algorithm TwoPass(data) is linked = [] labels = structure with dimensions of data, initialized with the value of Background NextLabel = 0 First pass for row in data do for column in row do if data[row][column] is not Background then neighbors = connected elements with the current element's value if neighbors is empty then linked[NextLabel ...
Among the edge detection methods developed so far, Canny edge detection algorithm is one of the most strictly defined methods that provides good and reliable detection. Owing to its optimality to meet with the three criteria for edge detection and the simplicity of process for implementation, it became one of the most popular algorithms for ...