Results 51 to 60 of about 5,165 (221)
Remote Sensing in Ecology and Conservation, EarlyView.High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
Quantitative Metrics for Edge Bundling of Network Visualizations
Computer Graphics Forum, EarlyView.Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source
Superpixel fats for fast foreground extraction
, 2015 Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large.
Li, Xuelong +3 more
core +1 more source
Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering
Journal of Harbin University of Science and Technology, 2020 The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular ...
HAN Jian-hui, TANG Jun-chao
doaj +1 more source
Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery
Remote Sensing, 2022 As an effective approach to obtaining agricultural information, the remote sensing technique has been applied in the classification of crop types. The unmanned aerial vehicle (UAV)-manned hyperspectral sensors provide imagery with high spatial and high ...
Shuang Tian, Qikai Lu, Lifei Wei
doaj +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
The Journal of Physiology, EarlyView.Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation
, 2017 Vegetation segmentation from roadside data is a field that has received relatively little attention in present studies, but can be of great potentials in a wide range of real-world applications, such as road safety assessment and vegetation condition ...
Ligang Zhang +5 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Multifiber Array‐Based Photometry System for Multiregional Functional Mapping in the Mouse Brain
European Journal of Neuroscience, Volume 63, Issue 12, June 2026.Existing fiber photometry approaches suffer from invasiveness and limited scalability. A newly developed multifiber array‐based photometry system allows targeting multiple brain regions with less invasiveness. The system was validated in two jGCaMP8s‐expressing mouse lines by monitoring GABAergic neural population activity across multiple brain regions
Manil Bradai +4 more
wiley +1 more source