Application of an effective geometric clustering method to the color quantization problem. Authors: Mary Inaba, Hiroshi Imai, Motoki Nakade, Tatsurou ...
Geometric clustering is the grouping of similar objects in some high dimensional space with an metric defined appro- priately for similarity. The color ...
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Application of an effective geometric clustering method to the color quantization problem · Mary Inaba · Motoki Nakade · Hiroshi Imai · Tatsurou Sekiguchi ...
Since the color of a pixel is comprised of three components, red, green, and blue, color quantization can be viewed as a clustering problem in three dimensions ...
In this article, we present both formal and experimental comparisons of different unsupervised clustering methods for structuring large image databases. We use ...
Aug 12, 2022 · We propose three methods for the color quantization of superpixel images. Prior to the application of each method, the target image is first segmented into a ...
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Most standard techniques treat color quantization as a problem of clustering points in three-dimensional space, where the points represent colors found in ...
[PDF] Color quantization using an accelerated Jancey k-means ...
faculty.uca.edu › ecelebi › JEI_2024
Oct 22, 2024 · Color quantization (CQ) is a fixed-rate vector quantization developed for color images to reduce their number of distinct colors while ...
Oct 22, 2024 · In this paper, a short review of color quantization is presented and a new color quantization method based on artificial bee colony algorithm ( ...
Our implementation of this algorithm using 24-bit color vectors has resulted in a fast quantizer that is very effective in capping maximum quantization error ...