Title :
Frequency tuned salient edge detection
Author :
Saber, Yusuf ; Kyan, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Abstract :
This paper presents a novel method for salient edge detection based on the frequency tuning principle. Limiting the operation to a single wavelet sub-band, the frequency components of the wavelet are analyzed. The average value in each frequency component (horizontal, vertical, and diagonal) is computed and subtracted from each pixel in its respective component. This creates a variance which allows the salient edges to pop out more significantly. Reconstructing the wavelet using only the frequency components yields a strong response to salient edges. Comparisons are given to classic salient edge detection methods.
Keywords :
edge detection; wavelet transforms; frequency component; frequency tuning principle; salient edge detection; single wavelet subband; wavelet reconstruction; Conferences; Equations; Feature extraction; Frequency domain analysis; Image edge detection; Image reconstruction; Strontium; Saliency; edge detection; spectral residual; visual attention; wavelets;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2011.6030664
