Search
Abstract
Parallel approaches to 2D and 3D convolution processing of series of images have been presented. A distributed, practically oriented, 2D spatial convolution scheme has been elaborated and extended into the temporal domain. Complexity of the scheme has been determined and analysed with respect to coefficients in convolution kernels. Possibilities of parallelisation of the convolution operations have been analysed and the results presented. Serial and parallel variants of 2D convolution schemes are proposed and their time-cost trade-offs are discussed. Flexibility of the solution with regard to scalable size of the kernel has been highlighted. The image processing techniques are analysed with respect to be applied in active distributed grid processing systems in the Internet, and their direct orientation toward the Comcute system has been deliberatively spotlighted.
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Grid and Volunteer Computing strony 140 - 147
- Language:
- English
- Publication year:
- 2012
- Bibliographic description:
- Brudło P.: Image Processing Techniques for Distributed Grid Applications// Grid and Volunteer Computing/ ed. eds. J.Balicki, H.Krawczyk, E.Nawarecki Gdańsk: GUT, 2012, s.140-147
- Verified by:
- Gdańsk University of Technology
seen 59 times