Deterministic vs. Random Initializations for K-Means Color Image Quantization
| Autor: | Henryk Palus, Mariusz Frackiewicz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Image quality
business.industry k-means clustering Initialization 020207 software engineering Pattern recognition 02 engineering and technology Color quantization Image (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Quantization (image processing) business Cluster analysis Mathematics |
| Zdroj: | SITIS |
| DOI: | 10.1109/sitis.2019.00020 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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