GPU accelerated image processing for lip segmentation

Authors:
Lukasz Adrjanowicz;Mariusz Kubanek;Adam Tomas
Affiliations:
Czestochowa University of Technology, Czestochowa, Poland;Czestochowa University of Technology, Czestochowa, Poland;Czestochowa University of Technology, Czestochowa, Poland
Venue:
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
Year:
2011

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Abstract

This paper presents the problem of lip segmentation in parallel environment using computational capabilities of GPUs and CUDA. The presented implementation of lip segmentation is based on image processing methods using the most popular transformations such as morphological operations and convolution filters. The obtained experimental results for the parallel implementation on GPU indicate significant speedup in comparison to its sequential counterpart. Consequently, the use of popular graphics cards provides a very promising possibility of quick lips segmentation.