Results 21 to 30 of about 323,476 (264)
Identification of Image Edge Using Quantum Canny Edge Detection Algorithm
Journal of ICT Research and Applications, 2019 Identification of image edges using edge detection is done to obtain images that are sharp and clear. The selection of the edge detection algorithm will affect the result.
Dini Sundani +3 more
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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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CoRR, 2019 Pursuing more complete and coherent scene understanding towards realistic vision applications drives edge detection from category-agnostic to category-aware semantic level. However, finer delineation of instance-level boundaries still remains unexcavated.
Yuan Hu 0004, Yingtian Zou, Jiashi Feng
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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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