DecimatePoly

Version 1.2.1.1 (28.7 KB) by Anton Semechko
Simplify a 2D closed contour/polygon to within user-defined boundary offset tolerance
5.0
(4)
1.6K Downloads
Updated 4 Sep 2020
View License on GitHub

Editor's Note: This file was selected as MATLAB Central Pick of the Week

Decimate 2D contours/polygons

View DecimatePoly on File Exchange

Have you ever worked with 2D boundary shape representations and noticed that the same shape can be represented with reasonable accuracy by a much smaller number of points? Did you ever need to reduce the complexity of a 2D shape while retaining as many salient features as possible? If so then DecimatePoly.m is the function you have been looking for.

Quick Demos

DecimatePoly_demo1: Simplify a 2D contour extracted from a binary image. Three binary images are included as examples. This demo requires Image Processing Toolbox to run.

DecimatePoly_demo2: Simplifying complex shapes while retaining geometrically and visually salient features.

DecimatePoly_demo3: Use DecimatePoly.m to improve the run-time of in-polygon tests at the cost of minor misclassification errors.

Get Python version here

DecimatePoly.m was selected as Matlab Pick of the Week

License

MIT © 2019 Anton Semechko a.semechko@gmail.com

Cite As

Anton Semechko (2024). DecimatePoly (https://github.com/AntonSemechko/DecimatePoly), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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Acknowledgements

Inspired: MatClust

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Demos

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.2.1.1

Use README.md from GitHub
1.2.1.0

- migrated to GitHub
1.2.0.0

Modified code according to suggestions made by Georgios Gkantzounis and Erik Husby
1.1.0.0

updated description
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.