Paper
15 October 1993 Invariance considerations in design of image-formation-measurement computer systems
Svetlana A. Filatova, Peter V. Golubtsov
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Abstract
Image registration measurement systems (MSs) often possess the following specific properties: the measurement results of these systems demand for further complex processing; these MSs deal with large amounts of data; and they possess a high level of invariance. In this paper a general description of measurement systems invariant with respect to a given group of transformations (e.g., translations, reflections, rotations of field of view) is considered. Then the problem of an optimum measurement computer system (MCS) synthesis for a given invariant MS is stated. It consists in obtaining a mapping (describing processing algorithm), delivering an optimum to the MCS as a whole. It is shown that proper allowance for invariance can significantly simplify MCS's synthesis problem solution and, as a consequence, appreciably cut down the computational costs involved both for constructing an optimum computational component of MCS and for its subsequent functioning.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Svetlana A. Filatova and Peter V. Golubtsov "Invariance considerations in design of image-formation-measurement computer systems", Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); https://doi.org/10.1117/12.160623
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Cited by 1 scholarly publication.
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KEYWORDS
Computing systems

Image processing

Image registration

Correlation function

Point spread functions

Object recognition

Chemical elements

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