Transcription of SLIC Superpixels - kev-smith.com
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slic Superpixels ?Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,Pascal Fua, and Sabine S usstrunkSchool of Computer and Communication Sciences (IC) Ecole Polytechnique F edrale de Lausanne (EPFL) are becoming increasingly popular for use incomputer vision applications. However, there are few algorithms thatoutput a desired number of regular, compact Superpixels with a low com-putational overhead. We introduce a novel algorithm that clusters pixelsin the combined five-dimensional color and image plane space to effi-ciently generate compact, nearly uniform Superpixels . The simplicity ofour approach makes it extremely easy to use a lone parameter specifiesthe number of Superpixels and the efficiency of the algorithm makes itvery practical.
EPFL Technical Report 149300 3 Table 1. Comparison of state of the art superpixel segmentation algorithms. N is the number of pixels in the image.
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