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检索条件"主题词=Graph-based image processing"
6 条 记 录,以下是1-10 订阅
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graph Filters for Signal processing and Machine Learning on graphs
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IEEE TRANSACTIONS ON SIGNAL processing 2024年 72卷 4745-4781页
作者: Isufi, Elvin Gama, Fernando Shuman, David, I Segarra, Santiago Delft Univ Technol Fac Elect Engn Math & Comp Sci NL-2628 CD Delft Netherlands Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA Franklin W Olin Coll Engn Needham MA 02492 USA
Filters are fundamental in extracting information from data. For time series and image data that reside on Euclidean domains, filters are the crux of many signal processing and machine learning techniques, including c... 详细信息
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graph Laplacian for image anomaly detection
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MACHINE VISION AND APPLICATIONS 2020年 第1期31卷 11-11页
作者: Verdoja, Francesco Grangetto, Marco Aalto Univ Sch Elect Engn Maarintie 8 Espoo Finland Univ Turin Dept Comp Sci Via Pessinetto 12 Turin Italy
Reed-Xiaoli detector (RXD) is recognized as the benchmark algorithm for image anomaly detection;however, it presents known limitations, namely the dependence over the image following a multivariate Gaussian model, the... 详细信息
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Binary Partition Tree construction from multiple features for image segmentation
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PATTERN RECOGNITION 2018年 84卷 237-250页
作者: Randrianasoa, Jimmy Francky Kurtz, Camille Desjardin, Eric Passat, Nicolas Univ Strasbourg CNRS ICube Strasbourg France Univ Reims CReSTIC Reims France Univ Paris 05 LIPADE Paris France
In the context of image analysis, the Binary Partition Tree (BPT) is a classical data structure for the hierarchical modelling of images at different scales. BPTs belong both to the families of graph-based models and ... 详细信息
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A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process
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IIE TRANSACTIONS 2015年 第10期47卷 1088-1111页
作者: Rao, Prahalad K. Beyca, Omer F. Kong, Zhenyu (James) Bukkapatnam, Satish T. S. Case, Kenneth E. Komanduri, Ranga SUNY Binghamton Syst Sci & Ind Engn Dept Binghamton NY 13702 USA Fatih Univ Dept Ind Engn TR-34500 Istanbul Turkey Virginia Polytech Inst & State Univ Grado Dept Ind & Syst Engn Blacksburg VA 24061 USA Texas A&M Univ Dept Ind & Syst Engn College Stn TX 77843 USA Oklahoma State Univ Sch Ind Engn & Management Stillwater OK 74075 USA Oklahoma State Univ Sch Mech & Aerosp Engn Stillwater OK 74075 USA
We present an algebraic graph-theoretic approach for quantification of surface morphology. Using this approach, heterogeneous, multi-scaled aspects of surfaces;e.g., semiconductor wafers, are tracked from optical micr... 详细信息
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A graph-based JOINT BILATERAL APPROACH FOR DEPTH ENHANCEMENT
A GRAPH-BASED JOINT BILATERAL APPROACH FOR DEPTH ENHANCEMENT
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IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP)
作者: Wang, Yongzhe Ortega, Antonio Tian, Dong Vetro, Anthony Univ Southern Calif Signal & Image Proc Inst Los Angeles CA 90033 USA Mitsubishi Elect Res Labs MERL Cambridge MA USA
Depth images are often presented at a lower spatial resolution, either due to limitations in the acquisition of the depth or to increase compression efficiency. As a result, upsampling low-resolution depth images to a... 详细信息
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Bilateral mesh filtering
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PATTERN RECOGNITION LETTERS 2012年 第9期33卷 1101-1107页
作者: Noel, Guillaume Djouani, Karim Van Wyk, Barend Hamam, Yskandar Tshwane Univ Technol French S African Inst Technol ZA-0001 Pretoria South Africa
The paper presents a new graph-based implementation of bilateral filtering. based on the Laplacian mesh smoothing framework, the proposed filter mimics the behaviour of the classical mesh filter while retaining some o... 详细信息
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