Spelling suggestions: "subject:"image processing"" "subject:"lmage processing""
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The spatial resolution of remotely sensed data and its effect on classification accuracyHarrison, A. January 1985 (has links)
No description available.
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Algorithms and architectures for automatic traffic analysisAtiquzzaman, M. January 1986 (has links)
No description available.
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Parallel computer architectures and algorithms for medical image analysisMoore, G. V. January 1987 (has links)
No description available.
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A fault tolerance scheme for large integrated processor arraysTrotter, John A. January 1990 (has links)
No description available.
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A knowledge-based approach to the interpretation of medical ultrasound imagesMorton, A. S. January 1990 (has links)
No description available.
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Image processing for robotic manipulations : visual detection, recognition and orientation of objects for robotic manipulation using microprocessor controlDean, A. M. January 1985 (has links)
No description available.
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Data structures for the reconstruction of engineering drawingsWaite, Martin January 1989 (has links)
No description available.
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N-tuple based image analysis using transputersBouridane, A. January 1992 (has links)
No description available.
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Visual identification of fine surface incisionsSchenk, Veit U. B. January 2003 (has links)
No description available.
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PROGRESS IN DIGITAL IMAGE PROCESSING, 1969Baker, L. Ralph, Burke, James J., Frieden, B. Roy 01 February 1970 (has links)
QC 351 A7 no. 50 / The results of the first complete tests of the Optical Sciences Center
digital image processing facility are reported. The instrumentation for digitizing film transparencies is operating well enough to provide suitable in-
puts to the computer program IMPR(C, which processes (restores) the degraded
image. Some manual correction of the digital data is required (mainly for
missing digits) before IMPROC can be used. Although IMPROC will be expanded
and modified during future research efforts, the debugging of its present
form is essentially completed. First attempts at restoration of a defocused
image show contrast enhancement and edge sharpening. Current techniques for
displaying the processed images, however, are slow and have a limited gray
scale. The best technique to date, which uses the computer's plotter to produce nine distinguishable gray levels, requires 1 hour to produce a 100 x100
matrix of points. A CRT film display device, driven by a digital computer,
is being developed to solve this problem. Current and future research efforts
are described.
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