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Cited by 3,200

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Characterization of signals from multiscale edges

Mallat, S., Zhong, S.·1992·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

A multiscale Canny edge detection is equivalent to finding the local maxima of a wavelet transform. The authors study the properties of multiscale edges through the wavelet theory. For pattern recognition, one often needs to discriminate different types of edges. They show that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures. Numerical descriptors of edge types are derived. The completeness of a multiscale edge representation is also studied. The authors describe an algorithm that reconstructs a close approximation of 1-D and 2-D signals from their multiscale edges. For images, the reconstruction errors are below visual sensitivity. As an application, a compact image coding algorithm that selects important edges and compresses the image data by factors over 30 has been implemented.>

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Metadata

Authors
Mallat, S., & Zhong, S.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1992-07
Volume
14
Issue
7
Pages
710-732
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2004217976
Cited by
3,200
References
4
FWCI
61.29
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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