Title :
Directional edge detection using parallel cognitive logic cells
Author :
Sugathan, Sherin ; James, Alex Pappachen
Author_Institution :
Sch. of Comput. Sci., IIITM-K, Thiruvananthapuram, India
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.
Keywords :
edge detection; parallel architectures; CUDA; compute unified device architecture; directional edge detection; high speed hardware; parallel cognitive logic cells; relative neighbourhood-pixel intensity variations; Computer architecture; Field programmable gate arrays; Graphics processing units; Hardware; Image edge detection; Parallel processing; Performance evaluation; CUDA; Cognitive Logic Cells; Edge Detection; Spatial Change Detection;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location :
Mysore
Print_ISBN :
978-1-4799-2432-5
DOI :
10.1109/ICACCI.2013.6637257
