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
Link To Document :
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