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(0) Convert the sample shape image into an edge image using any edge detecting algorithm like Canny edge detector (1) Pick a reference point (e.g., (x c, y c)) (2) Draw a line from the reference point to the boundary (3) Compute ɸ (4) Store the reference point (x c, y c) as a function of ɸ in R(ɸ) table. Detection:
An infobox for artwork Template parameters [Edit template data] This template prefers block formatting of parameters. Parameter Description Type Status Title title The title of the artwork. Defaults to the page name. String optional Image file image image_file The name of the image file to display, without the "File:" prefix File optional Image size image_size The size of the image in pixels ...
mapframe-wikidata – Set to yes to show shape/line features from the wikidata item, if any, when |coord= is set. Default: not specified; Customise which features are displayed: mapframe-shape – Turn off display of shape feature by setting to none. Use an inverse shape (geomask) instead of a regular shape by setting to inverse. Default: not ...
Template: optional: Mapframe shapes from Wikidata: mapframe-wikidata: et to yes to show shape/line features from the wikidata item, if any, when coordinates are specified by parameter. Example yes: String: optional: Mapframe shape feature: mapframe-shape: Override display of mapframe shape feature. Turn off by setting to "none".
Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [ 2 ] navigation of mobile robots , [ 3 ] or edge detection in images.
For example, a square can be unambiguously defined by the locations of three of its four corners, from which the software can interpolate the connecting boundary lines and the interior space. Because it is a regular shape, a square could also be defined by the location of one corner, a size (width=height), and a rotation angle.
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