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Frequency tuned salient edge detection

Authors: Yusuf Saber; Matthew J. Kyan;

Frequency tuned salient edge detection

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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