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Application of clustering algorithms for image analysis

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Image Clustering

This is a program uses a clustering algorithm to group pixels into a provided number of clusters. A raw image is supplied as a command-line argument, which writes to an output directory which is specified in main.rs. The current clustering implementation is primarily based on a color-only k-means algorithm.

$ cargo run --release pictures/kelp.jpg

A sample of the pre- and post-processed images can be found below, for an overhead shot of a kelp forest.

If using this program to process data for publication, please cite the UCSB COAST Lab. Thank you!

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Application of clustering algorithms for image analysis

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