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2. Hough transform - Wikipedia

   en.wikipedia.org/wiki/Hough_transform

   The results of this transform were stored in a matrix. Cell value represents the number of curves through any point. Higher cell values are rendered brighter. The two distinctly bright spots are the Hough parameters of the two lines. From these spots' positions, angle and distance from image center of the two lines in the input image can be ...

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4. Line detection - Wikipedia

   en.wikipedia.org/wiki/Line_detection

   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 ...

5. Comparison of raster-to-vector conversion software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_raster-to...

   Cross-platform (command-line version) Browsers with WebAssembly support (web version) SVGcode (uses Potrace) Thomas Steiner 2021 2023 (version ?) Free GPL-2.0-or-later: Android, web , Windows Primitive: Michael Fogleman Free MIT: MAC OS X, with Python & Go packages and a JavaScript port KVEC: K. Kuhl Freeware

6. Rasterisation - Wikipedia

   en.wikipedia.org/wiki/Rasterisation

   Raster graphic image. In computer graphics, rasterisation (British English) or rasterization (American English) is the task of taking an image described in a vector graphics format (shapes) and converting it into a raster image (a series of pixels, dots or lines, which, when displayed together, create the image which was represented via shapes).

7. Spatial anti-aliasing - Wikipedia

   en.wikipedia.org/wiki/Spatial_anti-aliasing

   When the lower level aliasing is suppressed, to make the third image and then that is down-sampled once more, without anti-aliasing, to make the fifth image, the order on the scale of the third image appears as systematic aliasing in the fifth image. Pure down-sampling of an image has the following effect (viewing at full-scale is recommended):