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Scale-invariant Edge Detection Using Spectral Theory
https://ipsj.ixsq.nii.ac.jp/records/94693
https://ipsj.ixsq.nii.ac.jp/records/94693405a94a1-8b4f-49db-93dd-edfd1acff776
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-TCVA0500005.pdf (958.9 kB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Trans(1) | |||||||
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| 公開日 | 2013-07-29 | |||||||
| タイトル | ||||||||
| タイトル | Scale-invariant Edge Detection Using Spectral Theory | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Scale-invariant Edge Detection Using Spectral Theory | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | [Regular Paper - Express Paper] scale space, spectral theory, edge detection | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Priority Organization for Innovation and Excellence, Kumamoto University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Science and Technology, Kumamoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Priority Organization for Innovation and Excellence, Kumamoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Science and Technology, Kumamoto University | ||||||||
| 著者名 |
Gou, Koutaki
Keiichi, Uchimura
× Gou, Koutaki Keiichi, Uchimura
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| 著者名(英) |
Gou, Koutaki
Keiichi, Uchimura
× Gou, Koutaki Keiichi, Uchimura
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In this paper, we propose a method of scale-invariant edge detection that represents edge images as polynomials in a scale parameter using spectral decomposition (generalized PCA), in order to obtain an optimal local scale. As this proposed method is successfully able to estimate the local scale of each pixel, accurate scale-invariant edge amplitudes and directions can be obtained. Our experimental results show that the proposed method detects rough edge contours in indistinct parts and detailed contours in the clarified parts of test images. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In this paper, we propose a method of scale-invariant edge detection that represents edge images as polynomials in a scale parameter using spectral decomposition (generalized PCA), in order to obtain an optimal local scale. As this proposed method is successfully able to estimate the local scale of each pixel, accurate scale-invariant edge amplitudes and directions can be obtained. Our experimental results show that the proposed method detects rough edge contours in indistinct parts and detailed contours in the clarified parts of test images. | |||||||
| 書誌情報 |
IPSJ Transactions on Computer Vision and Applications （CVA） 巻 5, p. 30-34, 発行日 2013-07-29 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-6695 | |||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
