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Title: Accelerated unsupervised filtering for the smoothing of road pavement surface imagery
Authors: Oliveira, Henrique
Caeiro, José Jasnau
Correia, Paulo
Keywords: Road crack detection
Image filtering
Density estimation
Computational complexity
Entropy reduction
Issue Date: Nov-2014
Publisher: IEEE
Citation: [IEEE style] H. Oliveira, J. J. Caeiro, P.L. Correia, “Accelerated unsupervised filtering for the smoothing of road pavement surface imagery, “ in European Signal Processing Conference, 2014, pp. 2465- 2469.
Abstract: An accelerated formulation of the Unsupervised Infor-mation-theoretic Adaptive Image Filtering (UINTA) method is presented. It is based on a parallel implementation of the algorithm, using the Open Computing Language (OpenCL), while maintaining the precision and efficiency of the origi-nal method, which are briefly discussed focusing on the respective computational complexities. The experimental computational efficiency is compared with the one obtained using the standard implementation, highlighting the signifi-cant improvement of computational times achieved with the proposed one. This new implementation is tested for the smoothing of road pavement surface images, for which the original method had been previously applied, showing the clear advantage of its use.
Description: 22nd European Signal Processing Conference, Lisbon: Set 1-5, 2014
Peer reviewed: yes
ISBN: 978-099286261-9
Appears in Collections:D-ENG - Comunicações com peer review

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