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
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