gSLICr: SLIC superpixels at over 250Hz
Carl Yuheng Ren, Victor Adrian Prisacariu, Ian D Reid
TL;DR
This paper presents a GPU-accelerated implementation of the SLIC superpixel segmentation algorithm, achieving over 250Hz processing speed and significant speedups over the sequential version, with open-source availability.
Contribution
The authors developed a parallel GPU implementation of SLIC superpixels that is faster and fully compatible with the standard version, enabling real-time processing.
Findings
Achieves over 250Hz processing speed.
Up to 83x speedup over sequential implementation.
Open source and compatible with standard SLIC.
Abstract
We introduce a parallel GPU implementation of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Using a single graphic card, our implementation achieves speedups of up to from the standard sequential implementation. Our implementation is fully compatible with the standard sequential implementation and the software is now available online and is open source.
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiomics and Machine Learning in Medical Imaging · Advanced X-ray Imaging Techniques