17 October 1994 Design and performance of a real-time radon-space hybrid image processing system for FLIR target evaluation
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Abstract
A unique real-time hybrid optical-digital image processing system has been developed to perform analysis of low contrast visual and infrared images in radon-space. This system functions by implementing the forward radon transform (a mathematical tomographic transform of image data from two-dimensional image-space to one-dimensional radon-space) in a front-end optical processor, and a digital processing subsystem operating in radon-space instead of the more traditional image-space. The system works by optically converting the two-dimensional image-space data into a series of one-dimensional projections. All further processing is performed digitally in radon-space on the one-dimensional projections. Applications of interest such as the objective minimum resolvable temperature difference measurement of thermal imagers and automatic pattern recognition are discussed. Also, this paper discusses the topic of real-time object-moment analysis in radon-space which can be used for target identification under conditions of certain image distortions (size, rotation, translation, and contrast). Radon-space object-moments can be calculated using significantly less image data and fewer digital operations than those in image-space.
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Steven Woolven, Steven Woolven, Paul C. Chevrette, Paul C. Chevrette, } "Design and performance of a real-time radon-space hybrid image processing system for FLIR target evaluation", Proc. SPIE 2269, Infrared Technology XX, (17 October 1994); doi: 10.1117/12.188639; https://doi.org/10.1117/12.188639
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