Directional edge detection using parallel cognitive logic cells

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 t...

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Bibliographic Details
Main Authors: Sugathan, Sherin, James, Alex Pappachen
Format: Conference Proceeding
Language:English
Subjects:
Cognitive Logic Cells
Computer architecture
CUDA
Edge Detection
Field programmable gate arrays
Graphics processing units
Hardware
Image edge detection
Parallel processing
Performance evaluation
Spatial Change Detection
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Description
Summary: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.
DOI:10.1109/ICACCI.2013.6637257