Adaptive Canny Algorithm Using Fast Otsu Multithresholding Method

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Amaal Jabbar Hatem

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.  
 

Article Details

How to Cite
HATEM, Amaal Jabbar. Adaptive Canny Algorithm Using Fast Otsu Multithresholding Method. Ibn AL- Haitham Journal For Pure and Applied Science, [S.l.], v. 26, n. 3, p. 211-218, apr. 2017. ISSN 2521-3407. Available at: <http://jih.uobaghdad.edu.iq/index.php/j/article/view/429>. Date accessed: 04 july 2020.
Section
physics