Feature detection from local energy

M. C. Morrone; R. A. Owens

doi:10.1016/0167-8655(87)90013-4

Feature detection from local energy

M. C. Morrone, R. A. Owens

Fondazione Stella Maris

Research output: Contribution to journal › Article › peer-review

Abstract

A more general definition of features such as edges, shadows and bars is developed, based on an analysis of the phase of the harmonic components. These features always occur at points of maximum phase congruency, the type of feature depending on the value of the phase. Using the image itself and its Hilbert transform, a local energy function is defined and it is shown that the local maxima of this energy function occur at points of maximum phase congruency.

Original language	English
Pages (from-to)	303-313
Number of pages	11
Journal	Pattern Recognition Letters
Volume	6
Issue number	5
DOIs	https://doi.org/10.1016/0167-8655(87)90013-4
Publication status	Published - 1987

Keywords

Edge detection
energy
Hilbert transform
odd and even symmetric filters
phase

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1016/0167-8655(87)90013-4

Cite this

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AU - Owens, R. A.

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AB - A more general definition of features such as edges, shadows and bars is developed, based on an analysis of the phase of the harmonic components. These features always occur at points of maximum phase congruency, the type of feature depending on the value of the phase. Using the image itself and its Hilbert transform, a local energy function is defined and it is shown that the local maxima of this energy function occur at points of maximum phase congruency.

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KW - energy

KW - Hilbert transform

KW - odd and even symmetric filters

KW - phase

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