Results 101 to 110 of about 6,422 (208)
In order to make up the shortcomings of some existing ship target detection algorithms for high-resolution synthetic aperture radar (SAR) images, a ship target detection algorithm based on information theory and Harris corner detection for SAR images is ...
Yangyang Deng +4 more
doaj +1 more source
Robust Semantic Segmentation with Superpixel-Mix
International audienceAlong with predictive performance and runtime speed, robustness is a key requirement for real-world semantic segmentation.Robustness encompasses accuracy, predictive uncertainty, stability under data perturbation and distribution ...
Franchi, Gianni +6 more
core +2 more sources
Texture-Aware Superpixel Segmentation
International audienceMost superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and highly fail to group pixels with similar local texture
Berthoumieu, Yannick +3 more
core +2 more sources
Recently, graph clustering has been applied to hyperspectral image (HSI) clustering and proves to be effective on capturing the complex affinity among hyperspectral samples to a certain extent.
Yao Qin +4 more
doaj +1 more source
Superpixel fats for fast foreground extraction
Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large.
Li, Xuelong +3 more
core +1 more source
Superpixel-Level Joint-Sparse and Graph-Regularized Framework for Hyperspectral Image Classification
Hyperspectral image classification (HSIC) remains challenging because high-dimensional spectral signatures must be interpreted together with spatially coherent land-cover structures, particularly when labeled samples are limited.
Tugcan Dundar
doaj +1 more source
Superpixel Segmentation: An Evaluation
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms.
openaire +1 more source
Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic content. While the superpixel segmentation of standard planar images, captured with a 90° field of view, has been extensively studied,
Rémi Giraud, Michaël Clément
openaire +3 more sources
Content-sensitive superpixel generation with boundary adjustment [PDF]
Superpixel segmentation has become a crucial tool in many image processing and computer vision applications. In this paper, a novel content-sensitive superpixel generation algorithm with boundary adjustment is proposed. First, the image local entropy was
Bao, Wenliang +5 more
core
Adaptive high-precision superpixel segmentation
Adaptive high-precision superpixel ...
G Xie (11832605) +3 more
core

