Paper
16 February 1984 A Rapid Feature Extractor Based Upon Optically Gathered Projection Data
Gene R Gindi, Arthur F Gmitro
Author Affiliations +
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.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gene R Gindi and Arthur F Gmitro "A Rapid Feature Extractor Based Upon Optically Gathered Projection Data", Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); https://doi.org/10.1117/12.939250
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KEYWORDS
Feature extraction

Fourier transforms

Hough transforms

Sensors

Computing systems

Radon transform

Digital electronics

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