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approximate methods for Laplacian images

version 1.0.0.0 (76.6 KB) by Zhulou Cao
Three approximate methods for Laplacian image were implemented

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Updated 20 Oct 2014

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Three approximate methods for Laplacian image were implemented.
Figure1_2.m shows the comparisons of edge Laplacian images, random
projection tree Laplacian images and k-means Laplacian Images.
main contents:
1. ImageLaplacian.m, original Laplacian image
2. EdgeLaplacian.m, e-Laplacian image employs Canny edge detector.
3. RPtreeLaplacian.m, r-Laplacian image employs random projection trees.
4. kmeansLaplacian.m, k-Laplacian image employs k-means clustering.

Cite As

Zhulou Cao (2021). approximate methods for Laplacian images (https://www.mathworks.com/matlabcentral/fileexchange/48196-approximate-methods-for-laplacian-images), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

rebecca

what is the find_nn function in laplacian_eigen.m?

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
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