- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 511 to 520 of 2341 (0.08 seconds)Spelling suggestions: "subject:"attern arecognition"" "subject:"attern 2recognition""
| 511 |
A subspace approach to the auomatic design of pattern recognition systems for mechanical system monitoringHeck, Larry Paul 12 1900 (has links)
No description available.
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| 512 |
Optical pattern recognition using a phase-with-constrained-magnitude filterKaura, Mary A. 08 1900 (has links)
No description available.
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| 513 |
Accelerated partial window imaging in an integrated vision unitHenderson, Drake Hall 08 1900 (has links)
No description available.
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| 514 |
Machine vision techniques for inspection of dry-fibre composite preforms in the aerospace industryMitchell, Thomas A. January 1995 (has links)
This thesis presents the results of a three year investigation into machine vision techniques for in-process automated inspection of dry-fibre composite preforms. Efficient texture analysis based techniques have been developed, tested, and implemented in a prototype robotic assembly cell. Industrial constraints have been considered in the development of all the algorithms described. A single channel texture analysis model is described which can successfully segment images containing only a few textures. The model is based on convolution of the image with small kernels optimised for the task, and is elegant in the sense that it is computationally simple and easily realisable in low cost hardware. A new convolution kernel optimisation algorithm is described. It is demonstrated that convolution kernels can also be optimised to perform as edge operators in simple textured images. A novel boundary refinement algorithm is described which reduces the inspection errors inherent in texture based boundary estimates. The algorithm takes the form of a local search, using the texture estimate as a guiding template, and selects edge points by maximising a merit function. Optimum parameters for the merit function are obtained using multiple training images in conjunction with simple function optimisation algorithms.
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| 515 |
A study of the factors controlling the image definition on a radiograph, using x-rays in the energy range 50KeV to 5MeVHalmshaw, R. January 1974 (has links)
No description available.
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| 516 |
A versatile real-time data capture and image processing systemGamal El-Din, M. K. January 1983 (has links)
No description available.
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| 517 |
Advances and applications in broadband imaging microspectroscopyStacey, Duncan T. B. January 1993 (has links)
No description available.
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| 518 |
Geometrical problems in computer visionFletcher, Gordon James January 1996 (has links)
No description available.
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| 519 |
The application of artificial neural networks to the classification of underwater cetacean soundsSmith, David James January 1993 (has links)
No description available.
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| 520 |
Targeted magnetic resonance imaging of the wristKeen, Michael Charles January 1993 (has links)
No description available.
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