Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation

Takayuki Tachikawa; Keisuke Kameyama; Tohru Kawabe; Kazuo Toraichi; Nobuyuki Otsu; Takio Kurita; Paul Hing Kwan

Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation

Takayuki Tachikawa, Keisuke Kameyama, Tohru Kawabe, Kazuo Toraichi, Nobuyuki Otsu, Takio Kurita, Paul Hing Kwan

Computer Science

Research output: Contribution to conference › Paper

Abstract

A content-based retrieval method introducing smoothing is proposed. The main aim of this work is to construct a database of function approximated kamon images. By introducing smoothing, kamon images can be characterized. The proposed method can appropriately evaluate the 'similar' examples obtained by the questionnaire which is difficult to match by the conventional method.

Original language	English
Pages	422-427
Publication status	Published - 2005
Event	ISC 2005: Eighth IASTED International Conference on Intelligent Systems and Control - Cambridge, United States of America Duration: 31 Oct 2005 → 2 Nov 2005

Conference

Conference	ISC 2005: Eighth IASTED International Conference on Intelligent Systems and Control
City	Cambridge, United States of America
Period	31/10/05 → 2/11/05

Keywords

Image Processing

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https://hdl.handle.net/1959.11/4567

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@conference{63cb66744e874cda9a1d14e95f01bec3,

title = "Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation",

abstract = "A content-based retrieval method introducing smoothing is proposed. The main aim of this work is to construct a database of function approximated kamon images. By introducing smoothing, kamon images can be characterized. The proposed method can appropriately evaluate the 'similar' examples obtained by the questionnaire which is difficult to match by the conventional method.",

keywords = "Image Processing",

author = "Takayuki Tachikawa and Keisuke Kameyama and Tohru Kawabe and Kazuo Toraichi and Nobuyuki Otsu and Takio Kurita and Kwan, \{Paul Hing\}",

year = "2005",

language = "English",

pages = "422--427",

note = "ISC 2005: Eighth IASTED International Conference on Intelligent Systems and Control ; Conference date: 31-10-2005 Through 02-11-2005",

}

Tachikawa, T, Kameyama, K, Kawabe, T, Toraichi, K, Otsu, N, Kurita, T & Kwan, PH 2005, 'Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation', Paper presented at ISC 2005: Eighth IASTED International Conference on Intelligent Systems and Control, Cambridge, United States of America, 31/10/05 - 2/11/05 pp. 422-427. <https://hdl.handle.net/1959.11/4567>

TY - CONF

T1 - Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation

AU - Tachikawa, Takayuki

AU - Kameyama, Keisuke

AU - Kawabe, Tohru

AU - Toraichi, Kazuo

AU - Otsu, Nobuyuki

AU - Kurita, Takio

AU - Kwan, Paul Hing

PY - 2005

Y1 - 2005

N2 - A content-based retrieval method introducing smoothing is proposed. The main aim of this work is to construct a database of function approximated kamon images. By introducing smoothing, kamon images can be characterized. The proposed method can appropriately evaluate the 'similar' examples obtained by the questionnaire which is difficult to match by the conventional method.

AB - A content-based retrieval method introducing smoothing is proposed. The main aim of this work is to construct a database of function approximated kamon images. By introducing smoothing, kamon images can be characterized. The proposed method can appropriately evaluate the 'similar' examples obtained by the questionnaire which is difficult to match by the conventional method.

KW - Image Processing

UR - http://turing.une.edu.au/~kwan/publications/pdf/MICpaper.pdf

UR - http://trove.nla.gov.au/work/35384046

UR - https://www.scopus.com/pages/publications/27944467450

M3 - Paper

SP - 422

EP - 427

T2 - ISC 2005: Eighth IASTED International Conference on Intelligent Systems and Control

Y2 - 31 October 2005 through 2 November 2005

ER -

Content-based Retrieval of Kamon Images by Image Smoothing and Relaxation

Abstract

Conference

Keywords

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