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Low-level processing for real-time image analysisA system that detects object outlines in television images in real time is described. A high-speed pipeline processor transforms the raw image into an edge map and a microprocessor, which is integrated into the system, clusters the edges, and represents them as chain codes. Image statistics, useful for higher level tasks such as pattern recognition, are computed by the microprocessor. Peak intensity and peak gradient values are extracted within a programmable window and are used for iris and focus control. The algorithms implemented in hardware and the pipeline processor architecture are described. The strategy for partitioning functions in the pipeline was chosen to make the implementation modular. The microprocessor interface allows flexible and adaptive control of the feature extraction process. The software algorithms for clustering edge segments, creating chain codes, and computing image statistics are also discussed. A strategy for real time image analysis that uses this system is given.
Document ID
19790022812
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Eskenazi, R. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Wilf, J. M. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 9, 2013
Publication Date
September 1, 1979
Subject Category
Cybernetics
Report/Patent Number
JPL-PUB-79-79
NASA-CR-162107
Accession Number
79N30983
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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