• Title of article

    Adaptive Canny Algorithm Using Fast Otsu Multithresholding Method

  • Author/Authors

    Hatem, Amaal Jabbar University of Baghdad - College of Education for Pure Science( Ibn Al-Haitham) - Dept of Physics, Iraq

  • From page
    211
  • To page
    218
  • Abstract
    In this research, an adaptive Canny algorithm using fast Otsu multithresholding method is presented, in which fast Otsu multithresholding method is used to calculate the optimum maximum and minimum hysteresis values and used as automatic thresholding for the fourth stage of the Canny algorithm. The new adaptive Canny algorithm and the standard Canny algorithm (manual hysteresis value) was tested on standard image (Lena) and satellite image. The results approved the validity and accuracy of the new algorithm to find the images edges for personal and satellite images as pre-step for image segmentation.
  • Keywords
    Edge detection , image segmentation , fast Otsu multithresholding method , Canny edge detection algorithm.
  • Journal title
    Ibn Alhaitham Journal For Pure an‎d Applied Science
  • Journal title
    Ibn Alhaitham Journal For Pure an‎d Applied Science
  • Record number

    2589957