Power-SLIC: Fast Superpixel Segmentations by Diagrams

Maximilian Fiedler; Andreas Alpers

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arXiv · 2012.11772

Power-SLIC: Fast Superpixel Segmentations by Diagrams

Maximilian Fiedler·Andreas Alpers

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Abstract

Superpixel algorithms grouping pixels with similar color and other low-level properties are increasingly used for pre-processing in image segmentation. In recent years, a focus has been placed on developing geometric superpixel methods that facilitate the extraction and analysis of geometric image features. Diagram-based superpixel methods are important among the geometric methods as they generate compact and sparsely representable superpixels. Introducing generalized balanced power diagrams to the field of superpixels, we propose a diagram method called Power-SLIC. Power-SLIC is the first geometric superpixel method to generate piecewise quadratic boundaries. Its speed, competitive with fast state-of-the-art methods, is unprecedented for diagram approaches. Extensive computational experiments show that Power-SLIC outperforms existing diagram approaches in boundary recall, under segmentation error, achievable segmentation accuracy, and compression quality. Moreover, Power-SLIC is robust to Gaussian noise.

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Maximilian Fiedler, Andreas Alpers. 2020-12-22. Power-SLIC: Fast Superpixel Segmentations by Diagrams. https://arxiv.org/abs/2012.11772

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