Accelerated unsupervised filtering for the smoothing of road pavement surface imagery. Oliveira, H., Caeiro, J., & Correia, P. L. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 2465-2469, Sep., 2014. Paper abstract bibtex An accelerated formulation of the Unsupervised Information-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 original 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 significant 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.
@InProceedings{6952933,
author = {H. Oliveira and J. Caeiro and P. L. Correia},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Accelerated unsupervised filtering for the smoothing of road pavement surface imagery},
year = {2014},
pages = {2465-2469},
abstract = {An accelerated formulation of the Unsupervised Information-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 original 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 significant 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.},
keywords = {filtering theory;image processing;traffic engineering computing;unsupervised learning;accelerated unsupervised filtering;road pavement surface imagery;unsupervised information theoretic adaptive image filtering;UINTA method;parallel implementation;open computing language;OpenCL;road pavement surface images;Roads;Estimation;Entropy;Smoothing methods;Kernel;Filtering;Graphics processing units;Road crack detection;image filtering;density estimation;computational complexity;entropy reduction},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569926753.pdf},
}
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