"Real-Time Computer Vision Using Intelligent Hardware"

Gregory M. Cox; Donald Fronek; Rahn Merrill

doi:10.1117/12.964175

26 March 1986 "Real-Time Computer Vision Using Intelligent Hardware"

Gregory M. Cox, Donald Fronek, Rahn Merrill

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964175
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

Recent advances in multiprocessor techniques and high speed memory have provided the basis for new computer architectures and real-time processing. This paper will describe some special hardware implemented in a real-time vision system, and detailing real-time processing of raster algorithms in concert with a linear sensor output. The algorithms and computer architecture considerations are detailed and justified. The application of the research project details the hardware and software that are necessary to process image pixels in less than 100 nano seconds. As a result of real-time processing, a certain "intelligence" is brought to the effort in the form of object identification. During object segmentation, algorithms provide a scoring procedure which identifies features within the image. The effort is supported in part by the Army Research Office, National Science Foundation and the Earth Technology Corporation.

Citation Download Citation

Gregory M. Cox, Donald Fronek, and Rahn Merrill ""Real-Time Computer Vision Using Intelligent Hardware"", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964175

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