Results 81 to 90 of about 2,715 (183)
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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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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Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingTo improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang +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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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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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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Corrosion defect segmentation method based on superpixel feature cascade
Ain Shams Engineering JournalTo solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun +3 more
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Joint superpixel and Transformer for high resolution remote sensing image classification
Scientific ReportsDeep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and superpixel segmentation use ...
Guangpu Dang +9 more
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Unsupervised instance segmentation with superpixels
Pattern RecognitionInstance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
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Medial Features for Superpixel Segmentation. [PDF]
, 2009 Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this
Engel, D. +5 more
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