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Proceedings Paper

A Rapid Feature Extractor Based Upon Optically Gathered Projection Data
Author(s): Gene R Gindi; Arthur F Gmitro
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Paper Abstract

A typical computer vision system has an analog (i.e. TV camera) front end that delivers a two-dimensional image to digital hardware. Often, the initial computations consist of extraction of features from this image. We propose here an analog preprocessor that can directly deliver a variety of features or perform certain kinds of computations on the input image in a time comparable to the scan times of most TV systems. The system operates directly on projections (i.e. line integrals) of the two-dimensional image rather than the image itself. Two reasons for this are: (1) certain operations are performed more naturally in the projection space, (2) the projections can be processed as one-dimensional temporal signals; devices for these operations have significant advantages over two-dimensional spatial signal processors. We show implementations for performing the following operations: (1) features consisting of the image,Fourier power spectrum integrated along radial pie-wedge segments and concentric arcs. (2) Computation of the Hough transform for detecting line segments. (3) Computations of moments invariant to translation, rotation, and geometric scaling. (4) Computation of certain geometric features with similar invariance properties.

Paper Details

Date Published: 16 February 1984
PDF: 9 pages
Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); doi: 10.1117/12.939250
Show Author Affiliations
Gene R Gindi, Yale University (United States)
Arthur F Gmitro, Yale University (United States)


Published in SPIE Proceedings Vol. 0449:
Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls
David P. Casasent; Ernest L. Hall, Editor(s)

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