• DocumentCode
    2726870
  • Title

    Design patent image retrieval based on shape features

  • Author

    Yang, Wenli ; Zeng, Zhiyuan ; Bai, Yujie

  • Author_Institution
    Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    352
  • Lastpage
    356
  • Abstract
    Based on the concrete characteristics and application background of design patent, according to the deficiengy of the present retrieval system of design patent database, this paper proposed an design patent image shape retrieval method based on the improved morphological description matrix and simulated annealing particle swarm optimization algorithm (SA-PSO), which can not only reflects the morphological characteristics of design patent image, but also has translation, rotation and scale invariances. The experimental results indicated that the proposed method can retrieve similar design patent images fast and efficiently, and improve the recall ratio and precision ratio of design patent image retrieval.
  • Keywords
    content-based retrieval; feature extraction; image retrieval; particle swarm optimisation; patents; simulated annealing; design patent database; design patent image retrieval; morphological description matrix; shape features; simulated annealing particle swarm optimization algorithm; Algorithm design and analysis; Concrete; Content based retrieval; Feature extraction; Image edge detection; Image retrieval; Image segmentation; Information retrieval; Shape; Simulated annealing; Design patent image retrieval; Simulated annealing particle swarm optimization algorithm; morphological description matrix; similarity degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357668
  • Filename
    5357668