Presentation | 2000/7/18 A Note on Simplification for 2-D Shapes Using Vector Tracer Method Satoshi Uemura, Miki Haseyama, Hideo Kitajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new simplification method using the fractal dimension, which is one of the characteristics of an object which has a statistical self-similarity, as an indicator of the level of simplification. It is possible to simplify the object keeping relatively strong features, because feature points are extracted by the result of the analysed state of unevenness of the original images that have strong relations to the fractal dimension. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | simplification / feature analysis / fractal dimension |
Paper # | DSP2000-78,SST2000-37 |
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Committee | DSP |
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Conference Date | 2000/7/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Note on Simplification for 2-D Shapes Using Vector Tracer Method |
Sub Title (in English) | |
Keyword(1) | simplification |
Keyword(2) | feature analysis |
Keyword(3) | fractal dimension |
1st Author's Name | Satoshi Uemura |
1st Author's Affiliation | School of Engineering, Hokkaido University() |
2nd Author's Name | Miki Haseyama |
2nd Author's Affiliation | School of Engineering, Hokkaido University |
3rd Author's Name | Hideo Kitajima |
3rd Author's Affiliation | School of Engineering, Hokkaido University |
Date | 2000/7/18 |
Paper # | DSP2000-78,SST2000-37 |
Volume (vol) | vol.100 |
Number (no) | 210 |
Page | pp.pp.- |
#Pages | 6 |
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