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Adaptive palette determination for color images based on Kohonen networks

机译:基于Kohonen网络的彩色图像自适应调色板确定

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A new method for the determination of adaptive palettes of color images with a variation of Kohonen (1984) networks, for the purposes of image storage and display, is presented. New neighborhood relationships in one and three dimensions are defined among neurons and the scope of these binds is also extended. The presented method is compared with popular palette selection algorithms, the resulting quality, provided network convergence, is competitive with the other methods, both for natural color and graphic images. Additionally, the resulting palettes show interesting topological relationships among colors.
机译:提出了一种新的方法,用于确定带有Kohonen(1984)网络的彩色图像的自适应调色板,以实现图像存储和显示的目的。在神经元之间定义了一维和三维的新邻域关系,并且这些绑定的范围也得到了扩展。将该方法与流行的调色板选择算法进行了比较,在自然融合和图形图像方面,所提供的质量(提供的网络收敛性)与其他方法相比具有竞争优势。此外,生成的调色板显示出颜色之间有趣的拓扑关系。

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