Added implementation for KMeans algorithm in GIL #2
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This is an implementation of Kmeans Clustering algorithm for Boost GIL. The input image filename(absolute/relative) must be passed as a command line argument.During execute ,input the required number of iterations and K value that indicates number of clusters. Output is stored in the file named output-kmeans.tif I have attached the example output of my implementation for the input image frog.jpg(attached),and number of clusters and iterations being 10 and 1 respectively. I would request the community to kindly provide feedback for my implementation I would also like to use the implementation of this algorithm for my gil competency test for GSOC 2021.
Turned the example file into a usable functionality(.hpp) for KMeans Clustering as suggested by lPranam and added it to the image_processing folder of boost.
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This is an implementation of Kmeans Clustering algorithm for Boost GIL. The input image filename(absolute/relative) must be passed as a command line argument.During execute ,input the required number of iterations and K value that indicates number of clusters.
Output is stored in the file named output-kmeans.tif
I have attached the example output of my implementation for the input image frog.jpg(attached),and number of clusters and iterations being 10 and 1 respectively.
I would request the community to kindly provide feedback for my implementation
I would also like to use the implementation of this algorithm for my gil competency test for GSOC 2021.
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