• DocumentCode
    1897641
  • Title

    Chest Radiographs Retrieval Based on Multi-Band Wavelet Transformation

  • Author

    Shao, Hong ; Ding, Zhifei ; Cui, Wencheng

  • Author_Institution
    Sch. of Sino-Dutch Biomed. & Inf. Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Use the chest radiographs for study,a new image retrieval method based on multi-band wavelet transformation is presented. Firstly,an image is decomposed by multi-band wavelet and the coefficients of each component are extracted; Secondly,row modulus maxima density,column modulus maxima density and modulus maxima energy of each component are computed by analyzing the coefficients,and the eigenvector of the image is composed by them;Finally,the similarity between the target image and each image of the database is measured,and according to the order of the similarities,the retrieval results are displayed.Experimental results show that the retrieval effect based on multi-band wavelet transformation is better than it based on gray level co-occurrence matrix or the binary wavelet transformation.
  • Keywords
    content-based retrieval; diagnostic radiography; feature extraction; image retrieval; medical image processing; wavelet transforms; binary wavelet transformation; chest radiograph retrieval; column modulus maxima density; eigenvector; gray level co-occurrence matrix; image retrieval method; modulus maxima energy; multiband wavelet transformation; row modulus maxima density; Biomedical imaging; Diseases; Feature extraction; Image retrieval; Radiography; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678197
  • Filename
    5678197