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In this context, artificial intelligence-based algorithms and more specifically, Artificial Neural Networks, have been consolidated as a powerful tool for unsupervised tasks, and therefore, for color quantization purposes. In this work, a novel approach to color quantization is presented based on the Growing Neural Forest (GNF), which is a Growing Neural Gas (GNG) variation where a set of trees is learnt instead of a general graph. Experimental results support the use of GNF for image quantization tasks where it overcomes other self-organized models including SOM, GHSOM and GNG. Future work will include more datasets and different competitive models to compare to.<\/p>","DOI":"10.4018\/ijcvip.2017070102","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T08:08:59Z","timestamp":1503907739000},"page":"13-25","source":"Crossref","is-referenced-by-count":0,"title":["Growing Neural Forest-Based Color Quantization Applied to RGB Images"],"prefix":"10.4018","volume":"7","author":[{"given":"Jes\u00fas","family":"Benito-Picazo","sequence":"first","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ezequiel","family":"L\u00f3pez-Rubio","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrique","family":"Dom\u00ednguez","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCVIP.2017070102-0","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1"},{"issue":"2","key":"IJCVIP.2017070102-1","first-page":"B943","article-title":"Performance analysis of bone images using various edge detection algorithms and denoising filters.","volume":"5","author":"S. 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