Cak, SDizdar, ENErsak, A2020-06-252020-06-251998closedAccess0141-9382https://doi.org/10.1016/S0141-9382(98)00038-9https://hdl.handle.net/20.500.12587/2795This paper presents a new colour quantization method for ray tracing. Normally, quantization is carried out by generating statistics about the colours present in the original image. Then a colour look-up table is created which contains the colours available in the quantized image. Original quantized values are mapped into the nearest colour entries in the look-up table. Although the execution time is quick using this method (histogram analysis) the cost is that the image quality is poor. The fuzzy c-means clustering algorithm (FCM) is an alternative solution to ameliorate the degradation in image quality. However, FCM introduces a considerable amount of computational burden and the process is time-consuming. This paper shows that the dominant peaks of histograms yield the fuzzy centroids needed for the first estimate in FCM. This reduces the computational burden imposed by FCM and improves the overall execution time. (C) 1998 Elsevier Science B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccesscolour quantizationcolour reductionclusteringFCMcolour mapA fuzzy colour quantizer for renderersArticle192616510.1016/S0141-9382(98)00038-92-s2.0-0032183615Q2WOS:000077377900002Q2