• DocumentCode
    2291851
  • Title

    A novel image binarization method using hybrid thresholding

  • Author

    Kuo, Tien-Ying ; Lai, Yun-Yang ; Lo, Yi-Chung

  • Author_Institution
    Dept of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    608
  • Lastpage
    612
  • Abstract
    In this paper, we proposed a simple yet effective image binarization method to work with various kinds of images, such as images with the color bleeding characters, or with non-uniform background exposed to poor ambient light, and so forth. Our approach is based on a hybrid color quantization process, which adaptively takes the global and local image characteristics into account; therefore, it can deal with complex images. The experiment result shows that our proposed hybrid method outperforms the literature methods.
  • Keywords
    image colour analysis; image segmentation; hybrid color quantization process; hybrid thresholding; image binarization method; nonuniform background; Compounds; Feature extraction; Hemorrhaging; Image color analysis; Noise; Noise measurement; Pixel; Hybrid Thresholding; Image Binarization; Image Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2010 IEEE International Conference on
  • Conference_Location
    Suntec City
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-7491-2
  • Type

    conf

  • DOI
    10.1109/ICME.2010.5583364
  • Filename
    5583364