Efficient Wavelet-Based Image Retrieval Using Coarse Segmentation and Fine Region Feature Extraction(Image Processing and Video Processing)

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概要

• 論文の詳細を見る

• Semantic image segmentation and appropriate region content description are crucial issues for region-based image retrieval (RBIR). In this paper, a novel region-based image retrieval method is proposed, which performs fast coarse image segmentation and fine region feature extraction using the decomposition property of image wavelet transform. First, coarse image segmentation is conducted efficiently in the Low-Low(LL) frequency subband of image wavelet transform. Second, the feature vector of each segmented region is hierarchically extracted from all different wavelet frequency subbands, which captures the distinctive feature (e.g., semantic texture) inside one region finely. Experiment results show the efficiency and the effectiveness of the proposed method for region-based image retrieval.

• 社団法人電子情報通信学会の論文
• 2005-05-01

著者

• Sun Yong

  Department Of Burns & Plastic Surgery Beijing Ji-shui-tan Hospital

• Sun Yong

  Department Of Information And Computer Science Keio University

• OZAWA Shinji

  Department of Information and Computer Science, Keio University

• Ozawa Shinji

  Department Of Information And Computer Science Keio University

• Ozawa Shinji

  Department Of Electrical Engineering Keio University

• Sun Yong

  Department of Applied Science for Integrated System Engineering, Graduate School of Engineering, Kyushu Institute of Technology

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