Lamba MST using Adaptive Tangential Cover: Online Demonstration
Please cite the reference article if you publish results obtained with this online demo.

This demonstration applies the Adaptive Tangential Cover for normal estimator and convex/concave parts detector.

Select Data

Click on an image to use it as the algorithm input.

ellipseNoise
flowerNoise
pentagonNoise
polygoneNoise
squareImageNoise

image credits

Upload Data

Upload your own image files to use as the algorithm input.

 

Images larger than 16777216 pixels will be resized. Upload size is limited to 16MB per image file and 10MB for the whole upload set .
TIFF, JPEG, PNG, GIF, PNM (and other standard formats) are supported. The uploaded will be publicly archived unless you switch to private mode on the result page.
Only upload suitable images. See the copyright and legal conditions for details.