Results 21 to 30 of about 303,248 (261)
Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network
Advances in Mathematical Physics, 2021 Digital image processing technology is widely used in production and life, and digital images play a pivotal role in the ever-changing technological development. Noise can affect the expression of image information. The edge is the reflection of the main
Lin Feng, Jian Wang, Chao Ding
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Illumination Induced Negative Differential Resistance in InGaAs Avalanche Photodiode
IEEE AccessThis work presents a novel InGaAs/InP avalanche photodiode, fabricated in the separate absorption, grading, charge, and multiplication configuration operated at non-cryogenic conditions under low-frequency ramp gating.
Afshan Khaliq +9 more
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Future Internet, 2022 With the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded ...
Tianyu Bai, Song Fu, Qing Yang
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Comparison of Adaptive Ant Colony Optimization for Image Edge Detection of Leaves Bone Structure
Emitter: International Journal of Engineering Technology, 2018 Leaf bone structure has a characteristic that can be used as a reference in digital image processing. One form of digital image processing is image edge detection. Edge detection is the process of extracting edge information from an image.
Febri Liantoni +2 more
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Direct Noise-Resistant Edge Detection with Edge-Sensitive Single-Pixel Imaging Modulation
Intelligent Computing, 2023 The majority of edge detection methods are applied after the capture of object photos. Thus, edge detection quality suffers when disturbances occur during imaging. This work proposes an effective edge detection technique for single-pixel imaging (SI).
Mengchao Ma +6 more
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Multi-Scale Anisotropic Gaussian Kernels for Image Edge Detection
IEEE Access, 2020 In this paper, a new edge detection method is proposed where multi-scale anisotropic Gaussian kernels (AGKs) are used to obtain an edge map from an input image.
Yunhong Li +3 more
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RHN: A Residual Holistic Neural Network for Edge Detection
IEEE Access, 2021 Edge detection plays a very important role in many image processing and computer vision applications. Use of deep convolutional neural networks (DCNNs) has significantly advanced the performance of image edge detection techniques.
Abdullah Al-Amaren +2 more
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Community detection with colored edges [PDF]
2016 IEEE International Symposium on Information Theory (ISIT), 2016 In this paper, we prove a sharp limit on the community detection problem with colored edges. We assume two equal-sized communities and there are $m$ different types of edges. If two vertices are in the same community, the distribution of edges follows $p_i=α_i\log{n}/n$ for $1\leq i \leq m$, otherwise the distribution of edges is $q_i=β_i\log{n}/n$ for
Narae Ryu, Sae-Young Chung
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Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean +7 more
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Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect
EAI Endorsed Transactions on e-Learning, 2015 In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications.
Chung-Yen Su +5 more
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