Paper
30 August 1989 An Improved Architecture For Video Rate Image Transformations
Timothy E. Fisher, Richard D. Juday
Author Affiliations +
Abstract
Geometric image transformations are of interest to pattern recognition algorithms for their use in simplifying some aspects of the pattern recognition process. Examples include reducing sensitivity to rotation, scale, and perspective of the object being recognized. The NASA/Texas Instruments Programmable Remapper can perform a wide variety of geometric transforms at full video rate. We propose an architecture that extends its abilities and alleviates many of the first version's shortcomings. We discuss the need for the improvements in the context of the initial Programmable Remapper and the benefits and limitations we have seen it deliver. We discuss the implementation and capabilities of the proposed architecture.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy E. Fisher and Richard D. Juday "An Improved Architecture For Video Rate Image Transformations", Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); https://doi.org/10.1117/12.960441
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Pattern recognition

Video

Aerospace engineering

Transform theory

Algorithm development

Human vision and color perception

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