Pyramidal Edge Detection And Image Representation

A. Schrift; Y. Y. Zeevi; M. Porat

doi:10.1117/12.968995

25 October 1988 Pyramidal Edge Detection And Image Representation

A. Schrift, Y. Y. Zeevi, M. Porat

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968995
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

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.

Citation Download Citation

A. Schrift, Y. Y. Zeevi, and M. Porat "Pyramidal Edge Detection And Image Representation", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.968995

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