[IPOL announce] new article: Bilateral K-Means for Superpixel Computation (the SLIC Method)
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Thu Apr 21 12:38:58 CEST 2022
A new article is available in IPOL: https://www.ipol.im/pub/art/2022/373/
Robin Gay, Jérémie Lecoutre, Nicolas Menouret, Arthur Morillon, and
Pascal Monasse,
Bilateral K-Means for Superpixel Computation (the SLIC Method),
Image Processing On Line, 12 (2022), pp. 72–91.
https://doi.org/10.5201/ipol.2022.373
Abstract
As a substitute to a full segmentation of a digital image, or as
preprocessing to a segmentation algorithm, superpixels provide an
over-segmentation that offers several benefits: good adherence to edges,
uniformity of color inside superpixels, a richer adjacency structure
than the regular grid of pixels, and the fact that each node of the
graph of superpixels has a shape, which can be used in subsequent
processing. Moreover, their evaluation is less subjective than a full
segmentation, which somehow always involves a semantic interpretation of
the scene. The SLIC method (Simple Linear Iterative Clustering) has been
a very popular algorithm to compute superpixels since its introduction.
Its advantage is due to its simplicity and to its computing time
performance. In essence, it consists in a K-means clustering in
bilateral domain, involving both position and color. We study in detail
this algorithm and propose a fast, simple post-processing that ensures
that superpixels are connected, a property not ensured by the original
method.
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