• DocumentCode
    3258616
  • Title

    Unified form for multi-scale top-hat transform based algorithms

  • Author

    Bai, Xiangzhi ; Zhou, Fugen

  • Author_Institution
    Image Process. Center, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1097
  • Lastpage
    1100
  • Abstract
    Multi-scale operation has been one efficient way to improve the performance of top-hat transform. The key of multi-scale top-hat transform is appropriately organizing and using multi-scale top-hat transform to extract the multi-scale image features. If a unified form of multi-scale top-hat transform can be proposed, the application of multi-scale top-hat transform could be focused on the decision of some functions of the unified form. This would simplify the algorithm design. In this paper, a unified form of multi-scale top-hat transform based algorithms is given. To prove the unified form, some applications of multi-scale top-hat transform based algorithms are integrated into the unified form by specifying the key functions of the unified form. These examples not only prove the unified form, but also provide the way of how to determine the key functions of the unified form for different applications.
  • Keywords
    feature extraction; transforms; multiscale image feature extraction; multiscale top hat transform; unified form; Algorithm design and analysis; Feature extraction; Image fusion; Noise; Organizing; Signal processing algorithms; Transforms; local contrast enhancement; multi-focus image fusion; multi-scale; noise suppression; top-hat transform; unified form;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646880
  • Filename
    5646880