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4 August 2000 Pulse image processing using centripetal autowaves
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Abstract
The mammalian visual cortex has presented unique visual processing algorithms,. The system rely on spiking neural networks that are coupled leaky-integrators. It has been proposed that the visual system converts 2D images into 1D signatures. So far, efforts to create digital algorithms have been thwarted by interference amongst objects in the input space. Here the marriage of curvature flow with pulse image processing creates a new system in which the expanding autowaves of individual objects in an input scene do not interfere. Thus, it becomes possible to identify multiple objects in a scene solely through the 1D signature.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason M. Kinser and Chau Nguyen "Pulse image processing using centripetal autowaves", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); https://doi.org/10.1117/12.395077
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