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• W2013339404 abstract "Abstract This paper introduces a binary‐based on‐chip cellular neural network (CNN) solution for pixel‐level snakes. Every cell in the array comprises circuitry for B/W and grey‐scale processing. The B/W processing is performed with a positive range high‐gain discrete‐time (DT)CNN model with 1‐bit of programmability. The grey‐scale processing is executed on a dedicated sub‐cell. The design efforts are mainly focused on area consumption and processing speed. The result is a chip with a resolution of 9 × 9 cells in a 0.18 µm CMOS technology process and a density of more than 700cells/mm 2 . Simulations at schematic level lead to a time of less than 100ns for every DTCNN step. The peak power dissipation is kept at a few watts in a hypothetical chip of 128 × 128 cells. Copyright © 2006 John Wiley & Sons, Ltd." @default.
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• W2013339404 date "2006-06-26" @default.
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• W2013339404 title "A binary-based on-chip CNN solution for pixel-level snakes" @default.
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• W2013339404 doi "https://doi.org/10.1002/cta.366" @default.
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