The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
The generalized Gabor scheme of image representation in biological and machine vision
Abstract
A scheme suitable for visual information representation in a combined frequency-position space is investigated through image decomposition into a finite set of two-dimensional Gabor elementary functions (GEF). The scheme is generalized to account for the position-dependent Gabor-sampling rate, oversampling, logarithmic frequency scaling and phase-quantization characteristic of the visual system. Comparison of reconstructed signal highlights the advantages of the generalized Gabor scheme in coding typical bandlimited images. It is shown that there exists a tradeoff between the number of frequency components used per position and the number of such clusters (sampling rate) utilized along the spatial coordinate.>
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Cites
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Kohonen, T. (1990) · Proceedings of the IEEE · doi:10.1109/5.58325 · Cited by 8,414
Unsupervised texture segmentation using Gabor filters
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Linear and quadratic time-frequency signal representations
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Image representation using 2D Gabor wavelets
Lee, T. S. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.541406 · Cited by 1,629
Multichannel texture analysis using localized spatial filters
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Metadata
- Authors
- Porat, M., & Zeevi, Y. Y.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1988-07
- Volume
- 10
- Issue
- 4
- Pages
- 452-468
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2136127238
- Cited by
- 447
- References
- 34
- FWCI
- 34.48
- 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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