Results 11 to 20 of about 9,095 (206)
Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms. [PDF]
Wound Repair RegenABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
Reifs D +3 more
europepmc +2 more sources
Diffraction order-engineered polarization-dependent silicon nano-antennas metagrating for compact subtissue Mueller microscopy. [PDF]
NanophotonicsAbstract A polarization‐dependent silicon nano‐antennas metagrating (PSNM) is proposed for parallel polarization transformation by engineering diffraction orders, upon which a compact Mueller microscopy system is implemented for subtissue‐level polarization extraction.
Li Q, Li J, Chen G, Lin Z, Lu D, Deng X.
europepmc +2 more sources
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Hyperspectral image (HSI) clustering is gaining considerable attention owing to recent methods that overcome the inefficiency and misleading results from the absence of supervised information.
Renxiang Guan +3 more
semanticscholar +1 more source
Dynamic spectral residual superpixels [PDF]
Pattern Recognition, 2021 We consider the problem of segmenting an image into superpixels in the context of $k$-means clustering, in which we wish to decompose an image into local, homogeneous regions corresponding to the underlying objects. Our novel approach builds upon the widely used Simple Linear Iterative Clustering (SLIC), and incorporate a measure of objects' structure ...
Zhang, Jianchao +5 more
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Dual-state six-channel polarization multiplexing in reconfigurable metasurfaces. [PDF]
NanophotonicsAbstract Dynamically tunable metasurfaces based on phase‐change materials (PCMs) have become important platforms for realizing reconfigurable optical systems. Nevertheless, achieving multiple independent functionalities within a single device, particularly under polarization multiplexing, remains difficult due to limited design flexibility.
Xie S +10 more
europepmc +2 more sources
Robust Superpixel Tracking [PDF]
IEEE Transactions on Image Processing, 2014 While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large appearance change due to factors such as scale, motion, shape deformation, and occlusion. One of the main reasons is the lack of effective image representation schemes to account for appearance ...
Yang, Fan, Lu, Huchuan, Yang, Ming-Hsuan
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Superpixel Segmentation With Fully Convolutional Networks [PDF]
Computer Vision and Pattern Recognition, 2020 In computer vision, superpixels have been widely used as an effective way to reduce the number of image primitives for subsequent processing. But only a few attempts have been made to incorporate them into deep neural networks.
Fengting Yang +3 more
semanticscholar +1 more source
Hybrid superpixel segmentation [PDF]
2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015 Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yu, Y, Lai, S, Liu, Y, Du, T
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Extended set of superpixel features
Компьютерная оптика, 2021 Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape,
A.A. Egorova, V.V. Sergeyev
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A Novel Spectral–Spatial Classification Method for Hyperspectral Image at Superpixel Level
Applied Sciences, 2020 Although superpixel segmentation provides a powerful tool for hyperspectral image (HSI) classification, it is still a challenging problem to classify an HSI at superpixel level because of the characteristics of adaptive size and shape of superpixels ...
Fuding Xie, Cunkuan Lei, Cui Jin, Na An
doaj +1 more source