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Cited by 168

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

Logical/linear operators for image curves

Iverson, L.A., Zucker, S.W.·1995·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

We propose a language for designing image measurement operators suitable for early vision. We refer to them as logical/linear (L/L) operators, since they unify aspects of linear operator theory and Boolean logic. A family of these operators appropriate for measuring the low-order differential structure of image curves is developed. These L/L operators are derived by decomposing a linear model into logical components to ensure that certain structural preconditions for the existence of an image curve are upheld. Tangential conditions guarantee continuity, while normal conditions select and categorize contrast profiles. The resulting operators allow for coarse measurement of curvilinear differential structure (orientation and curvature) while successfully segregating edge-and line-like features. By thus reducing the incidence of false-positive responses, these operators are a substantial improvement over (thresholded) linear operators which attempt to resolve the same class of features.>

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Metadata

Authors
Iverson, L. A., & Zucker, S. W.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1995
Volume
17
Issue
10
Pages
982-996
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2129119440
Cited by
168
References
4
FWCI
6.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Logical/linear operators for image curves. https://app.cochat.ai/papers/10.1109/34.464562
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Iverson, L. A., & Zucker, S. W. (1995). Logical/linear operators for image curves. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.464562

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