• DocumentCode
    2940022
  • Title

    A fast technique for gray level image thresholding and quantization based on the entropy maximization

  • Author

    Benzid, Redha ; Arar, Djemai ; Bentoumi, Miloud

  • Author_Institution
    Dept. of Electron., Univ. of M´´Sila, M´´Sila
  • fYear
    2008
  • fDate
    20-22 July 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Presented is a fast technique dedicated to the multilevel image thresholding and quantization based on the Shannonpsilas entropy maximization. The elaborated method uses efficiently the cumulative density function for the rapid determination of the optimal thresholds for segmentation. Some simulation results are reported for the aim of illustration and demonstration of its effectiveness.
  • Keywords
    data compression; image coding; image segmentation; Shannon entropy maximization; entropy maximization; gray level image quantization; gray level image thresholding; Computational complexity; Density functional theory; Entropy; Histograms; Image segmentation; Information theory; Pattern recognition; Pixel; Probability density function; Quantization; Cumulative Density Function; Entropy Maximization; Multilevel Image Thresholding; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-2205-0
  • Electronic_ISBN
    978-1-4244-2206-7
  • Type

    conf

  • DOI
    10.1109/SSD.2008.4632831
  • Filename
    4632831
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2940022