• DocumentCode
    3109135
  • Title

    Content-Based Medical Image Retrieval Using the Generic Fourier Descriptor with Brightness

  • Author

    Vijay, Ashok ; Bhattacharya, Mahua

  • Author_Institution
    Indian Inst. of Inf. Technol. & Manage., Gwalior, India
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    330
  • Lastpage
    332
  • Abstract
    Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor.
  • Keywords
    Fourier transforms; content-based retrieval; image retrieval; medical computing; 2-D Fourier transform; content-based medical image retrieval; generic Fourier descriptor; Biomedical imaging; Brightness; Content based retrieval; Content management; Data mining; Fourier transforms; Image retrieval; Information retrieval; Shape; Technology management; CBIR retrieval; CBMIR; Fourier descriptors; Generic Fourier Descriptor.; shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision, 2009. ICMV '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-0-7695-3944-7
  • Electronic_ISBN
    978-1-4244-5645-1
  • Type

    conf

  • DOI
    10.1109/ICMV.2009.42
  • Filename
    5381139