| Presentation | 2013-06-13 Adaptive Weighted Mean Filter Using Fuzzy Clustering and Output Switching Takehiro IMAI, Mitsuji MUNEYASU, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a novel edge-preserving adaptive weighted mean filter using fuzzy clustering. This filter consists of non-recursive and recursive fuzzy clustering based filters. The non-recusive one is superior to the recursive one for edge preservation, otherwise the recursive one is superior to the the non-recursive one for noise reduction. Therefore the outpout of the proposed filter is selected from these filters according to a local feature which is extracted by directional difference filter (DDF). This selection improves the performance of the proposed filter significantly. Finally, simulation examples show the effectiveness of the proposed filter. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data-dependent filter / weighted mean filter / noise reduction / fuzzy clustering |
| Paper # | SIS2013-6 |
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| Committee | SIS |
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| Conference Date | 2013/6/6(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Weighted Mean Filter Using Fuzzy Clustering and Output Switching |
| Sub Title (in English) | |
| Keyword(1) | data-dependent filter |
| Keyword(2) | weighted mean filter |
| Keyword(3) | noise reduction |
| Keyword(4) | fuzzy clustering |
| 1st Author's Name | Takehiro IMAI |
| 1st Author's Affiliation | Graduate School of Engineering, Kansai University() |
| 2nd Author's Name | Mitsuji MUNEYASU |
| 2nd Author's Affiliation | Graduate School of Engineering, Kansai University |
| Date | 2013-06-13 |
| Paper # | SIS2013-6 |
| Volume (vol) | vol.113 |
| Number (no) | 78 |
| Page | pp.pp.- |
| #Pages | 6 |
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