Results 31 to 40 of about 4,342 (209)
ALFO: Adaptive Light Field Over-Segmentation
IEEE Access, 2021 Automatic image over-segmentation into superpixels has attracted increasing attention from researchers to apply it as a pre-processing step for several computer vision applications.
Maryam Hamad +3 more
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Remote Sensing, 2020 In this paper, superpixel features and extended multi-attribute profiles (EMAPs) are embedded in a multiple kernel learning framework to simultaneously exploit the local and multiscale information in both spatial and spectral dimensions for hyperspectral
Lei Pan, Chengxun He, Yang Xiang, Le Sun
doaj +1 more source
Remote Sensing, 2018 Superpixels, as a state-of-the-art segmentation paradigm, have recently been widely used in computer vision and pattern recognition. Despite the effectiveness of these algorithms, there are still many limitations and challenges dealing with Very High ...
Zeinab Gharibbafghi +2 more
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Iterative Boundaries Implicit Identification for Superpixels Segmentation: A Real-Time Approach
IEEE Access, 2021 Superpixel algorithms group visually coherent pixels and form an alternative representation of the regular structure of the pixel grid. This fundamental low-level computer vision preprocessing step greatly reduces the complexity of subsequent image ...
Serge Bobbia +5 more
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Resolution-Independent Meshes of Superpixels [PDF]
, 2019 The over-segmentation into superpixels is an important pre-processing step to smartly compress the input size and speed up higher level tasks. A superpixel was traditionally considered as a small cluster of square-based pixels that have similar color ...
Vitaliy Kurlin +3 more
core +1 more source
Superpixels, Occlusion and Stereo [PDF]
2011 International Conference on Digital Image Computing: Techniques and Applications, 2011 Graph-based energy minimization is now the state of the art in stereo matching methods. In spite of its outstanding performance, few efforts have been made to enhance its capability of occlusion handling. We propose an occlusion constraint, an iterative optimization strategy and a mechanism that proceeds on both the digital pixel level and the super ...
Yuhang Zhang 0001 +3 more
openaire +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Wetland is of significant ecological value, which is very important and challenging for large-scale mapping. Sentinel-1 can continuously record wetland changes with its all-day, all-weather working capability.
Hui Yang +3 more
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Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network
Remote Sensing, 2022 Synthetic Aperture Radar (SAR) is the primary equipment used to detect oil slicks on the ocean’s surface. On SAR images, oil spill regions, as well as other places impacted by atmospheric and oceanic phenomena such as rain cells, upwellings, and internal
Xiaojian Liu +3 more
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Transfert de couleurs basé superpixels
, 2017 Groupe d'Études du Traitement du Signal et des Images (GRETSI)National audienceDans ce travail, nous présentons une méthode rapide de transfert de couleurs basé superpixels entre deux images.
Papadakis, Nicolas +2 more
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Research on Dynamic Graph Target Tracking Method Fusing the Color Local Entropy
ITM Web of Conferences, 2018 Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which is based on the superpixels and dynamic graph matching. Firstly, to make the superpixels edge
Zhang Junchang +3 more
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