Directional edge detection using parallel cognitive logic cells

2013

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DOI 10.1109/icacci.2013.6637257
Data confidence 85 high
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Abstract

This paper presents a novel edge detection method based on parallel cognitive cells which also supports an implementation in high speed hardware. The paper develops directional edge detection strategies that utilize the cognitive cells using the relative neighbourhood-pixel intensity variations in the images. The proposed edge detection method has been implemented in CUDA. The running time for a serial implementation and an equivalent parallel implementation are also reported.