A K-means Based Generic Segmentation System

Abstract

This paper presents a creative general purpose segmentation system, potentially capable of object extraction from RGB images. The segmentation takes place by initially performing K-means clustering and then recombination. K-means algorithm uses RGB color values, diagonal busyness factor (sum of color differences among central and diagonal pixels) and… (More)
DOI: 10.1109/CGIV.2009.8

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@article{Irani2009AKB, title={A K-means Based Generic Segmentation System}, author={Arash Azim Zadeh Irani and Bahari Belaton}, journal={2009 Sixth International Conference on Computer Graphics, Imaging and Visualization}, year={2009}, pages={300-307} }