Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Image Clustering using Improved Neural Network Algorithm

개선된 신경망 알고리즘을 이용한 영상 클러스터링

  • 박상성 (고려대학교 산업시스템정보공학과) ;
  • 이만희 (삼성테크) ;
  • 유헌우 (연세대학교 인지과학연구) ;
  • 문호석 (고려대학교 산업시스템정보공학) ;
  • 장동식 (고려대학교 산업시스템정보공학과)
  • Published : 2004.07.01
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Abstract

In retrieving large database of image data, the clustering is essential for fast retrieval. However, it is difficult to cluster a number of image data adequately. Moreover, current retrieval methods using similarities are uncertain of retrieval accuracy and take much retrieving time. In this paper, a suggested image retrieval system combines Fuzzy ART neural network algorithm to reinforce defects and to support them efficiently. This image retrieval system takes color and texture as specific feature required in retrieval system and normalizes each of them. We adapt Fuzzy ART algorithm as neural network which receive normalized input-vector and propose improved Fuzzy ART algorithm. The result of implementation with 200 image data shows approximately retrieval ratio of 83%.

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References

  1. W. Niblack and et. al., 'The QBIC project: Querying Images By Content Using Color, Textures and Shape,' SPIE Storage and Retrieval for Image and Video Databases, vol 1908, pp.173-187, 1993 https://doi.org/10.1117/12.143648
  2. J. Laaksonen, M. Koskela, S. Laaksonen and E. Oja, 'Self-Oranising Maps as a Relevance Feedback Technique in content-Based Image Retrieval', Pattern Analysis & Applications, vol. 4, pp. 140-152, 2001 https://doi.org/10.1007/PL00014575
  3. J. Fournier, M. Cord, S. Philipp-Foliguet, 'Back-propagation Algorithm for Relevance Feedback in Image Retrieval', Conference on International Image Processing, 2001 https://doi.org/10.1109/ICIP.2001.959138
  4. C. J. Lin and C. T. Lin, 'Reinforcement Learning for an ART-Based Fuzzy Adaptive Learning Control Network', IEEE Trans. Neural Networks, vol. 3, pp. 709-731, 1996 https://doi.org/10.1109/72.501728
  5. G. A. Carpenter, S. Grossberg and D. B. Rosen, 'Fuzzy-ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system', Neural Networks, vol. 4, pp.759-771, 1991 https://doi.org/10.1016/0893-6080(91)90056-B