@inproceedings{bf9ef102e3ad4340a2c72c9571c4573a,
title = "In search of a new initialization of K-means clustering for color quantization",
abstract = "Color quantization is still an important auxiliary operation in the processing of color images. The K-means clustering (KM), used to quantize the color, requires an appropriate initialization. In this paper, we propose a combined KM method that use to initialize the results of well-known quantization algorithms such as Wu's, NeuQuant (NQ) and Neural Gas (NG). This approach, assessed by three quality indices: PSNR, ΔE and ΔM, improves the results. Experimental results of such combined quantization indicate that the deterministic Wu+KM and random NG+KM approaches leading to the best quantized images.",
keywords = "Pixel clustering, color quantization, initialization, k-means, neural networks",
author = "Mariusz Frackiewicz and Henryk Palus",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 8th International Conference on Machine Vision, ICMV 2015 ; Conference date: 19-11-2015 Through 21-11-2015",
year = "2015",
doi = "10.1117/12.2228712",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Antanas Verikas and Petia Radeva and Dmitry Nikolaev",
booktitle = "Eighth International Conference on Machine Vision, ICMV 2015",
address = "United States",
}