Presentation | 2014-03-06 Multifractal computation based feature descriptor for texture classification Chamidu Atupelage, Hiroshi Nagahashi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a textural feature extraction based on multifractal computation. Multifractal is used to measure the complexity of natural texture. Using multifractal computation, we derived a high-dimensional feature space to describe the pixels' local and spatial distribution characteristics. Our. feature descriptor utilizes four multifractal measures that are invariant for the rotational changes of the texture. We investigated the performance of multifractal feature descriptor by comparing the classification accuracies of three popular feature descriptors. The results indicate that multifractal features contain higher discrimination capacity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Texture classification / Textural feature descriptors / Fractal / Multifractal |
Paper # | IMQ2013-44,IE2013-153,MVE2013-82 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2014/2/27(1days) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multifractal computation based feature descriptor for texture classification |
Sub Title (in English) | |
Keyword(1) | Texture classification |
Keyword(2) | Textural feature descriptors |
Keyword(3) | Fractal |
Keyword(4) | Multifractal |
1st Author's Name | Chamidu Atupelage |
1st Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology() |
2nd Author's Name | Hiroshi Nagahashi |
2nd Author's Affiliation | Imaging Science and Engineering Laboratory, Tokyo Institute of Technology |
Date | 2014-03-06 |
Paper # | IMQ2013-44,IE2013-153,MVE2013-82 |
Volume (vol) | vol.113 |
Number (no) | 470 |
Page | pp.pp.- |
#Pages | 5 |
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