Image Retrieval Using Color and Space-Distributed Average Coordinates

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概要

• 論文の詳細を見る

• In this paper, we propose a new content-based image retrieval method by using color and color spatial information of an image. To index images, we use the average coordinates of color distribution to obtain the spatial information of each segmented fuzzy region that is less sensitive to image rotation and object translations in an image. Furthermore, we also propose the alternative to solve the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm and distorts the information of other regions.

• 社団法人電子情報通信学会の論文
• 2002-03-01

著者

• Choi Jong-soo

  Department Of Image Eng. Graduate School Of Aim Chung-ang Univ.

• Kang Eung-kwan

  Department Of Image Engineering Graduate School Of Advanced Imaging Science Multimedia And Film Chun

• Choi Jong-soo

  Department Of Image Engineering Graduate School Of Advanced Imaging Science Multimedia And Film Chun

• CHANG Hee-Won

  Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia and Film, C

• Chang Hee-won

  Department Of Image Engineering Graduate School Of Advanced Imaging Science Multimedia And Film Chun

関連論文

• A Study on Real-Time Implementation of the View Interpolation System(Special Section on Papers Selected from ITC-CSCC 2002)
• A Quasi-feature based Image Mosaic Algorithm Using Modified Block Matching Criteria (特集:変貌するマシンビジョン活用技術)
• Simulation of Rosette Scanning Infrared Seeker and Counter-Countermeasure Using K-Means Algorithm (Special Section of Papers Selected from ITC-CSCC '98)
• Image Retrieval Using Color and Space-Distributed Average Coordinates

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