• DocumentCode
    1998606
  • Title

    An Effective Method for Mammograph Image Retrieval

  • Author

    Sun, Junding ; Zhang, Zhaosheng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo
  • Volume
    1
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    A novel retrieval method for mammograph images was proposed in this paper. The texture structure of mammograph image was firstly extracted by the maximum and minimum of local intensity. Then, a new texture feature, distortion constraint, was introduced based on the speciality of the region of interest. Combined with the weighted moments, the new descriptor was given as an index for mammograph image retrieval. By comparing with the existing methods, experiment results show that the new method has higher performance and efficiency in retrieval and classification of mammograph images.
  • Keywords
    image classification; image retrieval; image texture; mammography; medical image processing; distortion constraint; mammograph image classification; mammograph image retrieval; texture feature; Biomedical imaging; Computer aided diagnosis; Content based retrieval; Feature extraction; Feedback; Image retrieval; Information retrieval; Lesions; Medical diagnostic imaging; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.118
  • Filename
    4724639