Ramer–Douglas–Peucker algorithm: Difference between revisions

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Better reflect the abstract of the source itself, also supported by the significant "Performance Evaluation of Line Simplification Algorithms for Vector Generalization" by Wenzhong Shi and ChuiKwan Cheung (2006)
See the application section below, as well as the abstract and the third paragraph of the first source in it
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{{Short description|Curve simplification algorithm}}
 
The '''Ramer–Douglas–Peucker algorithm''', also known as the '''Douglas–Peucker algorithm''' and '''iterative end-point fit algorithm''', is an algorithm that [[Decimation (signal processing)|decimates]] a curve composed of line segments to a similar curve with fewer points. It was one of the earliest successful algorithms developed for [[cartographic generalization]] as it delivers the best perceptual representations of the original lines.
 
== Idea ==