Image Retrieval Using VQ Based Local Modified Gabor Feature(Regular Section)

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概要

• 論文の詳細を見る

• This paper proposes a new method of retrieving images from large image databases. The method is based on VQ(Vector Quantization) of local texture features at interest points automatically detected in an image. The texture features are extracted by Gabor wavelet filter bank, and rearranged for rotation. These features are classified by VQ and then construct a pattern histogram. Retrievals are performed by just comparing pattern histograms between images.

• 社団法人電子情報通信学会の論文
• 2002-07-25

著者

• Chung T‐y

  Kaugnung National Univ. Kangwon‐do Kor

• PARK Sang-Hui

  Department of Electrical and Computer Engineering, Yonsei University

• CHUNG Tae-Yun

  Department of Control and Instrumentation Engineering, Kangnung National University

• Shin Dae-kyu

  Department Of Electrical And Computer Engineering Yonsei University

• Park Sang-hui

  Department Of Electrical And Computer Engineering Yonsei University

• Kim Hyun-sool

  Mobile Communication Division Samsung Electronics Co. Ltd.

• Chung Tae-yun

  Department Of Control And Instrumentation Engineering Kangnung National University

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