• DocumentCode
    3380219
  • Title

    A mosaic algorithm for high-resolution s-μCT image of porous media based on SIFT & SGWs

  • Author

    Xue Wang ; Jing Liu

  • Author_Institution
    Sch. of Electron. Inf. & Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    477
  • Lastpage
    482
  • Abstract
    Aiming at image mosaic for high-resolution and high-amplification image of porous media, it proposed a compound method process based on Scale Invariance Feature Transform (SIFT) and Second Generation Wavelets (SGWs). The process is divided into two steps, one is quick match with SIFT, the other is precise image fused by SGWs. It takes full advantage of image´s texture to make image matching fast, and then the image fused strategy and method based on SGWs are developed. A series of experiments show that according to high-resolution and high-amplification image, such algorithm could achieve well mosaic result, moreover, obviously it could be applied other likely case.
  • Keywords
    computerised tomography; image fusion; image matching; image segmentation; image texture; porous materials; scaling phenomena; wavelet transforms; SGW; SIFT; compound method process; high-amplification image; high-resolution s-μCT image; image fusion; image matching; image mosaic; image texture; mosaic algorithm; porous media; scale invariance feature transform; second generation wavelets; synthetic microcomputed tomogram image; Equations; Feature extraction; Image reconstruction; Image resolution; Mathematical model; Media; Noise; SGWs; SIFT; masaic; porous media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4799-0781-6
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2013.6622286
  • Filename
    6622286