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Proceedings Paper

Pyramidal Edge Detection And Image Representation
Author(s): A. Schrift; Y. Y. Zeevi; M. Porat
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Paper Abstract

We present a scheme of extracting edge information from parallel spatial frequency bands. From these we create an integrated image of most significant edges of different scales. The frequency bands are realized using the formalism of a Gaussian pyramid in which the levels represent a bank of spatial lowpass filters. The integrated edge image is created in a top-down algorithm, starting from the smallest version of the image. The sequential algorithm uses mutual edge information of two consecutive levels to control the processing in the lower one. This edge detection algorithm constitutes an image-dependent nonuniform processing scheme. Computational results show that only 20%-50% of the operations are needed to create an edge pyramid, compared to the number required in the regular scheme. The proposed generic scheme of image-dependent processing can be also implemented with operators other than edge detectors to exploit the advantages inherent in biological processing of images.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968995
Show Author Affiliations
A. Schrift, Technion-Israel Institute of Technology (Israel)
Y. Y. Zeevi, Technion-Israel Institute of Technology (Israel)
M. Porat, Technion-Israel Institute of Technology (Israel)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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