Most superpixel methods are sensitive to noise and cannot control the superpixel number
precisely. To solve these problems, in this article, we propose a robust superpixel method …

Superpixels are widely used in computer vision applications. Most of the existing superpixel
methods use established criteria to indiscriminately process all pixels, resulting in superpixel …

Superpixel segmentation, as a central image processing task, has many applications in
computer vision and computer graphics. Boundary alignment and shape compactness are …

Superpixels have gradually become popular in computer vision and image processing
applications. However, no comprehensive study has been performed to evaluate the …

Superpixels can preserve the structure and reduce the redundancy of the original image.
Because of these advantages, superpixel generation or superpixel segmentation is widely …

In this paper, a new level set formulation that can simultaneously segment and correct color
images is proposed by combining the illumination and reflectance estimation (IRE) model …

Superpixel provides a coherent division of an image that respects the integrity of objects and
has been used in Polarimetric Synthetic Aperture Radar (PolSAR) image analysis. The …

Superpixel segmentation provides a way to capture object boundaries unsupervised and
has benefited many compute vision applications. However, under-segmentation for weak …

In this paper, we propose a novel image interpolation method by using Gaussian-Sinc
automatic interpolators with partition of unity property. A comprehensive comparison is made …

Superpixel generation, which is an essential step in many image processing applications,
has attracted increasing attention from researchers. In this paper, we present an efficient …