Results 61 to 70 of about 15,689 (243)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic segmentation of high-resolution remote sensing images is crucial in ecological evaluation, natural resource surveys, etc. Compared with CNN-based and transformer-based methods, graph neural networks (GNNs) have drawn increasing attention because
Ying Tang, Xiangyun Hu, Tao Ke, Mi Zhang
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Improved Cost Aggregation Algorithm for Fast Stereo Matching [PDF]
Jisuanji gongcheng, 2019 For the cost aggregation problem in stereo matching,an improved cost aggregation algorithm is proposed.The image is segmented by superpixel and the Minimum Spanning Tree(MST) is established.Then,use tree filter for cost aggregation to generate superpixel
YANG Gang, JIN Tao, WANG Dawei, CAO Jingjin, ZHANG Na, YAN Biwu, LI Tao, CHENG Yuan
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Superpixel Convolutional Networks using Bilateral Inceptions
, 2016 In this paper we propose a CNN architecture for semantic image segmentation. We introduce a new 'bilateral inception' module that can be inserted in existing CNN architectures and performs bilateral filtering, at multiple feature-scales, between ...
A Adams +11 more
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Journal of Applied Clinical Medical Physics, Volume 27, Issue 4, April 2026.Abstract Background Accurate classification of brain tumors is a major challenge in neuro‐oncology, as the heterogeneity of tumor morphology and the overlap of radiological features limit the effectiveness of conventional diagnostic approaches. Early and reliable tumor characterization is essential for treatment planning, prognosis, and improved ...
Mus'ab S. Alkasasbeh +7 more
wiley +1 more source
Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification †
Remote Sensing, 2017 Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task.
Shuzhen Zhang +3 more
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BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification
, 2014 Dental biofilm is the deposition of microbial material over a tooth substratum. Several methods have recently been reported in the literature for biofilm quantification; however, at best they provide a barely automated solution requiring significant ...
Mansoor, Awais +4 more
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Advanced Science, Volume 13, Issue 24, 27 April 2026.A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong +9 more
wiley +1 more source
Improved Spatial-Spectral Superpixel Hyperspectral Unmixing
Remote Sensing, 2019 In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented. A reduced-size image representation is obtained using superpixel segmentation where each superpixel is represented by ...
Mohammed Q. Alkhatib +1 more
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Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The superpixel-based multiple kernels model uses the average value of all pixels within superpixel as the spatial feature, which results in inaccurate extraction of edge pixels. To solve this problem, a local binary patterns and superpixel-based multiple
Wei Huang +4 more
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Region-based Skin Color Detection. [PDF]
, 2012 Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper presents a new region-based
Liu, D. +3 more
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