High-performance architecture for linear-camera vision systems

John W. V. Miller; Mark Wilson

doi:10.1117/12.132070

1 November 1992 High-performance architecture for linear-camera vision systems

John W. V. Miller, Mark Wilson

Proceedings Volume 1823, Machine Vision Applications, Architectures, and Systems Integration; (1992) https://doi.org/10.1117/12.132070
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

While linear cameras offer substantial advantages over RS-170 cameras for many vision applications, the lack of suitable high-performance image-processing hardware has significantly limited their potential benefits. The very large images and high data rates associated with linear cameras impose significant processing problems that limit the capabilities of current linear-camera hardware designs. A highly desirable goal is to design new hardware architectures that will significantly improve processing capabilities to exploit the advantages of linear cameras without the need for frame buffers with their inherent restrictions on image size and format. This paper describes an approach that offers significant improvements for linear-camera based vision systems without requiring frame buffers. The proposed design advocates the use of lookup tables compatible with low-cost VLSI technology to perform extensive additional low-level processing. Hardware to perform data compression and extraction of key information from image data is also covered. The overall objectives of this architecture include providing low-cost hardware, flexibility, and ease of programming.

Citation Download Citation

John W. V. Miller and Mark Wilson "High-performance architecture for linear-camera vision systems", Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); https://doi.org/10.1117/12.132070

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KEYWORDS

Cameras

Image processing

Computer programming

Data compression

Imaging systems

Data storage

Machine vision

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