Results 101 to 110 of about 6,095 (211)
TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications
Applied SciencesSuperpixel segmentation aims to produce a consistent grouping of pixels. In recent years, the importance of superpixel segmentation has increased in computer vision since it offers useful primitives for extracting image features and simplifies the ...
Abiel Aguilar-González +5 more
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Superpixel Segmentation: An Evaluation
, 2015 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.
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, 2019 In virtue of the spatial structural characteristic of surface materials, the performance of the hyperspectral image classification can be boosted by incorporating texture information.
Zhu, Jiasong +5 more
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International Journal of Applied Earth Observations and GeoinformationRecently, 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
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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
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Superpixel-Level Joint-Sparse and Graph-Regularized Framework for Hyperspectral Image Classification
Remote SensingHyperspectral 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
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Diagram of superpixel feature extraction.
, 2015 Diagram of superpixel feature extraction.
Menglong Xu (739238) +5 more
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Robust Shape Regularity Criteria for Superpixel Evaluation
, 2017 International audienceRegular decompositions are necessary for most superpixel-based object recognition or tracking applications. So far in the literature, the regularity or compactness of a superpixel shape is mainly measured by its circularity. In this
Papadakis, Nicolas +2 more
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SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral images (HSI) exhibit complex contextual relationships, including variations in local homogeneous regions and spectral similarities among different classes.
Miaomiao Liang +5 more
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Anisotropic Superpixel Generation Based on Mahalanobis Distance
, 2016 Superpixels have been widely used as a preprocessing step in various computer vision tasks. Spatial compactness and color homogeneity are the two key factors determining the quality of the superpixel representation.
Guo, Xiaohu, Cai, Yiqi
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