DocumentCode :
3720058
Title :
Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines
Author :
Ivan Milankovic;Aleksandar Peulic;Alexandra B. Ysasi;Willi L. Wagner;Andreas M. Pabst;Maximilian Ackermann;Jan Houdek;Sonja F?hst;Steven J. Mentzer;Moritz A. Konerding;Nenad Filipovic;Akira Tsuda
Author_Institution :
Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Image filtering is one of the most common and important tasks in image processing applications. In this paper, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms for the 3D visualization and analysis of murine lungs is explained. These algorithms are then mapped on the Maxler´s MAX2336B Dataflow Engine (DFE) to significantly increase calculation speed. Several different DFE configurations were tested and each yielded different performance characteristics. Optimal algorithm calculation speed was up to 30 fold baseline calculation speed.
Keywords :
"Lungs","Filtering algorithms","Information filters","Three-dimensional displays","Adaptive filters","Image filtering"
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on
Type :
conf
DOI :
10.1109/BIBE.2015.7367663
Filename :
7367663
Link To Document :
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