k均值彩色图像量化的确定性与随机初始化

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2019-11-01 DOI:10.1109/SITIS.2019.00020

H. Palus, M. Frackiewicz

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引用次数: 1

摘要

我们提出了六种初始化用于彩色图像量化的k均值聚类算法的方法。我们在柯达图像数据集中的24张彩色图像上测试了这些初始化方法。在绝大多数所检查的情况下，k++的初始化获得了最好的结果。利用MSE和几个新的感知质量指标对结果进行了评价。

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Deterministic vs. Random Initializations for K-Means Color Image Quantization

We present six methods for initialising the K-means clustering algorithm used for color image quantization. We test these initialization methods on a few quantization levels and on 24 color images contained in the Kodak image dataset. In the vast majority of the examined cases the best results were obtained for the initialization of KM++. The evaluation of the results was carried out using the MSE and several new perceptual quality indices.

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2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

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