2001 Fiscal Year Final Research Report Summary
Similar Image Retrieval using affine invariant wavelet
| Project/Area Number |
12680395
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Hiroshima City University |
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Principal Investigator |
HAYASHI Akira Hiroshima City University, Faculty of Information Sciences, Professor, 情報科学部, 教授 (60240909)
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| Co-Investigator(Kenkyū-buntansha) |
KANBARA Toshihiko Hiroshima City Univ., Fac. Information Sciences, Research Associate, 情報科学部, 助手 (60285426)
SUEMATSU Nobuo Hiroshima City Univ., Fac. Information Sciences, Research Associate, 情報科学部, 助手 (70264942)
OKADA Masami Tokyo Metropolitan Uni., Fac. Science, Prof, 理学部, 教授 (00152314)
李 仕剛 岩手大学, 工学部, 助教授 (50252630)
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| Project Period (FY) |
2000 – 2001
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| Keywords | Similar Image Retrieval / Region-based Image Retrieval / Wavelet Transform / Texture Image Segmentation |
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| Research Abstract |
Content-based image retrieval, which provides convenient ways to retrieve images from large image databases, has been studied actively. While many previous image retrieval techniques do not look at regions in an image, region based image retrieval techniques have been gaining attention recently.
We propose a region-based image retrieval method which performs image segmentation and indexing using texture features computed from wavelet coefficients.
The proposed method has advantages in texture feature extraction and hierarchical image segmentation over the previous region-based techniques using wavelet transform.
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