Title :
Canny edge detection based on inertial product energy
Author :
Lisha Hou ; Junping Du
Author_Institution :
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
The region inertial product energy concept combined with canny edge detection is presented here. It takes the place of the gradient amplitude by calculating the inertial product energy of n*n neighborhood region of central point. Based on inertial product energy and gradient direction, the non-maxima suppression can weaken the noise and tiny information of image effectively and better strike a balance between performance of noise suppression and accuracy of edge positioning in canny edge detection algorithm. The experiment on spatial images shows that this method is given with satisfactory results.
Keywords :
edge detection; gradient methods; interference suppression; canny edge detection; central point; edge positioning; gradient amplitude; gradient direction; n*n neighborhood region; noise information; noise suppression; nonmaxima suppression; region inertial product energy; spatial images; tiny information; Accuracy; Algorithm design and analysis; Detectors; Feature extraction; Filtering algorithms; Image edge detection; Noise; Canny; Edge detection; Inertial product energy;
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
DOI :
10.1109/ICNIDC.2012.6418795
