Paper
18 January 1988 Hardware Algorithms For Connectivity Analysis, Target Tracking And Object Characterization
Thomas M. Seitzler, Richard G. Burford
Author Affiliations +
Abstract
Machine Vision and Image Processing have been limited to slow software techniques for object definition, measurement and characterization. Such software is now available in a hardware module implementation. The hardware provides sixteen parameters for up to 255 parent or child blobs in 1/30th second, real-time. Among the parameters are Connectivity Analysis; Area and Centre of Area; Location, Elongation and Orientation; and Shape Discrimination. Target tracking is possible using these parameters. Hardware organization and configuration will be described briefly along with existing and potential applications.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas M. Seitzler and Richard G. Burford "Hardware Algorithms For Connectivity Analysis, Target Tracking And Object Characterization", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942149
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Cited by 1 scholarly publication.
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KEYWORDS
Image enhancement

Binary data

Detection and tracking algorithms

Digital image processing

Convolution

Image analysis

Image filtering

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