| Presentation | 1998/3/6 Color Quantization Using Fast K-means Clustering Hideo Kasuga, Hiroaki Yamamoto, Masayuki Okamoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many color images have 24bits color data. But, we don't always need so many color data. This paper proposes a new algorithm for color image quantization. When we quantized color images, we seek quantized values that make sum of square error minimum. We used a fast K-means algorithm.This method groups K clusters, and decreases calculation frequency. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Color Quantization / K-Clustering / K-means Algorithm / Fast K-means Algorithm |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 1998/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Color Quantization Using Fast K-means Clustering |
| Sub Title (in English) | |
| Keyword(1) | Color Quantization |
| Keyword(2) | K-Clustering |
| Keyword(3) | K-means Algorithm |
| Keyword(4) | Fast K-means Algorithm |
| 1st Author's Name | Hideo Kasuga |
| 1st Author's Affiliation | Graduate School of Engineering, Shinshu University() |
| 2nd Author's Name | Hiroaki Yamamoto |
| 2nd Author's Affiliation | Faculty of Engineering, Shinshu University |
| 3rd Author's Name | Masayuki Okamoto |
| 3rd Author's Affiliation | Faculty of Engineering, Shinshu University |
| Date | 1998/3/6 |
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| Volume (vol) | vol.97 |
| Number (no) | 590 |
| Page | pp.pp.- |
| #Pages | 6 |
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