Walsh descriptors for shape discrimination

I. Dinstein; T. Silberberg

doi:10.1080/00207218008901144

Walsh descriptors for shape discrimination

I. Dinstein, T. Silberberg

Department of Electrical & Computer Engineering

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

Abstract

A shift invariant Walsh power spectrum for real periodic signals is defined, and an algorithm for its computation is presented. The Walsh power spectrum of the boundary angular function of Zahn and Roskies (1972) is computed. It is shown that most of the energy of the power spectrum is concentrated in the lower sequency coefficients. A small number of low-sequency coefficients is enough for shape discrimination of closed contours.

Original language	English
Pages (from-to)	47-58
Number of pages	12
Journal	International Journal of Electronics
Volume	49
Issue number	1
DOIs	https://doi.org/10.1080/00207218008901144
State	Published - 1 Jan 1980

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1080/00207218008901144

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title = "Walsh descriptors for shape discrimination",

abstract = "A shift invariant Walsh power spectrum for real periodic signals is defined, and an algorithm for its computation is presented. The Walsh power spectrum of the boundary angular function of Zahn and Roskies (1972) is computed. It is shown that most of the energy of the power spectrum is concentrated in the lower sequency coefficients. A small number of low-sequency coefficients is enough for shape discrimination of closed contours.",

author = "I. Dinstein and T. Silberberg",

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AB - A shift invariant Walsh power spectrum for real periodic signals is defined, and an algorithm for its computation is presented. The Walsh power spectrum of the boundary angular function of Zahn and Roskies (1972) is computed. It is shown that most of the energy of the power spectrum is concentrated in the lower sequency coefficients. A small number of low-sequency coefficients is enough for shape discrimination of closed contours.

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Walsh descriptors for shape discrimination

Abstract

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