Paper
22 August 1988 An Integral Measure Signature For Recognition Of Shapes
Y. J. Tejwani
Author Affiliations +
Abstract
In this paper, the use of Cylindrical Multivalued Transform (CMLT) for defining an Integral Transform Measure is examined. This Measure is robust to the effect of noise and quantization errors. These signatures are used as low level primitives in computer vision system for the purpose of recognizing curves and surfaces (shapes). Algorithms for evaluation of these signatures are presented. Properties of these signatures are also discussed.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. J. Tejwani "An Integral Measure Signature For Recognition Of Shapes", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976611
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Cited by 1 scholarly publication.
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KEYWORDS
Optical pattern recognition

Computing systems

Logic

Quantization

Fourier transforms

Radio over Fiber

Computer vision technology

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