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Electro Optic Target Detection And Object Recognition

David Casasent

Year
1987
Citations
2

Abstract

Low, medium, and high-level vision algorithms as well as new scene analysis techniques for electro optic sensors are reviewed. Pattern recognition, target detection and object recognition are the applications considered. Applications for electro optic image processing include: ATR, reconnaissance, robotics, inspection, medical image processing, etc. We consider primarily IR and visible imagery, but make note of the need for and increased research in multisensor imaging techniques involving range imagery and multiple wavelength imagery.

Keywords

Artificial intelligenceComputer scienceComputer visionCognitive neuroscience of visual object recognitionObject detectionImage processingAutomatic target recognitionRoboticsImage sensorMachine vision

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