Line Simplification

Versión 1.4.0.0 (6,03 KB) por Wolfgang Schwanghart
Recursive Douglas-Peucker Polyline Simplification (Iterative Endpoint Fit)
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Actualizado 13 jul 2010

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Nota del editor: This file was selected as MATLAB Central Pick of the Week

dpsimplify uses the recursive Douglas-Peucker line simplification algorithm to reduce the number of vertices in a polyline according to a specified tolerance. The algorithm is also know as Iterative Endpoint Fit algorithm. dpsimplify can handle polylines and polygones in 2d and higher dimensions.

The submission now contains another m-file (dpsimplify_octave.m) that has been slightly modified to run with GNU Octave.

Syntax:

[ps,ix] = dpsimplify(p,tol)

where p is a nxm matrix that contains n vertices in m dimensions.

For additional information on the algorithm follow this link
http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm

Citar como

Wolfgang Schwanghart (2024). Line Simplification (https://www.mathworks.com/matlabcentral/fileexchange/21132-line-simplification), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2007b
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Versión Publicado Notas de la versión
1.4.0.0

added m-file that runs with GNU Octave
1.3.0.0

Added some information in the description.

1.2.0.0

Removed a bug in calculating the second output argument. Improved handling of lines with only one segment.

1.1.0.0

only minor changes: added some comments and changed the link to more information since it was dead.
1.0.0.0

First, the algorithm can now handle nans in the vertex array. It assumes that nans in the array serve as separator of single polylines and treats each polyline/polygon separately.