Results 21 to 30 of about 5,151,122 (293)
Controllable Edge Feature Sharpening for Dental Applications [PDF]
Computational and Mathematical Methods in Medicine, 2014 This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry.
Ran Fan, Xiaogang Jin 0001
openaire +4 more sources
Image Segmentation Method Based on MRF with Edge Constrained Local Region [PDF]
Jisuanji gongcheng, 2021 The conventional Markov Random Field(MRF) model is sensitive to noise and produces fuzzy edges when segmenting complex natural images.To address the problem, this paper proposes an Edge Constrained Local Region MRF(ECLRMRF) segmentation model.Euclidean ...
HU Gaozhen, XU Shengjun, MENG Yuebo, LIU Guanghui, FENG Feng, DUAN Zhongxing
doaj +1 more source
Modeling Edge Features with Deep Bayesian Graph Networks [PDF]
, 2021 We propose an extension of the Contextual Graph Markov Model, a deep and probabilistic machine learning model for graphs, to model the distribution of edge features.
Bacciu D. +11 more
core +2 more sources
Novel geometric features for off-line writer identification [PDF]
, 2016 Writer identification is an important field in forensic document examination. Typically, a writer identification system consists of two main steps: feature extraction and matching and the performance depends significantly on the feature extraction step ...
Al-Maadeed, Somaya +3 more
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Details of the multi-edge features fusion attention block.
, 2023 The position features are from the pseudo-mask while the image features and the edge features are from image and edge, respectively.
Huachang Li (13804872) +4 more
core +1 more source
Improving Semantic Segmentation via Decoupled Body and Edge Information
Entropy, 2023 In this paper, we propose a method that uses the idea of decoupling and unites edge information for semantic segmentation. We build a new dual-stream CNN architecture that fully considers the interaction between the body and the edge of the object, and ...
Lintao Yu, Anni Yao, Jin Duan
doaj +1 more source
Organizing on the Edge: Appreciation and Critique [PDF]
, 2006 The paper begins with a summary of Alberts and Hayes’s concept of edge organizations, noting its distinguishing features. Limitations and shortcoming are identified.
Scott, W. RIchard
core +2 more sources
EF-Razor: An Effective Edge-Feature Processing Method in Visual SLAM
IEEE Access, 2020 Feature-based visual simultaneous localization and mapping (SLAM) is an effective localization approach for robots in unknown environments. Classic handcrafted features perform well in 2D image matching tasks.
Wen Liu +3 more
doaj +1 more source
FSED-feature selective edge detection
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002 We present a method that finds edges between certain image features, e.g. gray-levels, and disregards edges between other features. The method uses a channel representation of the features and performs normalized convolution using the channel values as certainties. This means that areas with certain features can be disregarded by the edge filter.
Borga, Magnus +2 more
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Co-embedding of edges and nodes with deep graph convolutional neural networks
Scientific Reports, 2023 Graph neural networks (GNNs) have significant advantages in dealing with non-Euclidean data and have been widely used in various fields. However, most of the existing GNN models face two main challenges: (1) Most GNN models built upon the message-passing
Yuchen Zhou +7 more
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