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检索条件"任意字段=Conference on Optical and Digital Image Processing"

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Improving measurement accuracy of fiber Bragg grating sensor using digital matched filter

引用

optical Fiber Sensors conference

作者： C.C. Chan J.M. Gong W. Jin M. Zhang L.M. Zhou M.S. Demokan Department of Electrical Engineering Hong Kong Polytechnic University Kowloon Hong Kong China Department of Electronic Engineering Tsinghua University Beijing China Department of Mechanical Engineering Hong Kong Polytechnic University Kowloon Hong Kong China

ISBN: (纸本)0780372891

Fiber Bragg grating (FBG) sensors are promising candidates for strain measurements in smart structures. The wavelength-encoded nature of the reflected signals from FBGs allows for absolute strain measurement and for multi-point operation based on wavelength division multiplexing (WDM). To measure strain variation with good accuracy, detection of the small shift in the Bragg wavelength is essential. In this paper, we report the use of a digital matched filter (DMF) for improving the wavelength detection accuracy. The DMF technique has been used extensively in image processing and pattern recognition for the detection of weak signals in a noisy environment. We apply it here for the detection of Bragg wavelength in FBG sensors when the SNR is low.

关键词： Matched filters Strain measurement Fiber gratings Bragg gratings Wavelength measurement Intelligent sensors Wavelength division multiplexing Intelligent structures image processing Pattern recognition

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Virtual environment modeling by integrated optical and acoustic sensing

Virtual environment modeling by integrated optical and acous...

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International conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

作者： A. Fusiello R. Giannitrapani V. Isaia V. Murino Dipartimento di Matematica e Informatica University of Udine Italy Dipartimento Scientifico e Tecnologico University of Verona Italy

In this paper, the problem of underwater scene understanding from multisensory data is addressed. Acoustic and optical devices onboard an underwater vehicle are used to sense the environment in order to produce an output which is readily understandable even by an inexperienced operator. The main idea is to integrate multiple sensory data by geometrically registering data to a model. In this way vehicle pose is derived, and the model objects can be superimposed on actual images, generating an augmented reality representation. Results on a real underwater scene are provided, showing the effectiveness of the proposed approach.

关键词： Virtual environment Integrated optics Acoustic devices Underwater acoustics Layout optical sensors optical devices Underwater vehicles Solid modeling image generation

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Meta-optic accelerators for object classifier

Meta-optic accelerators for object classifier

引用

conference on Lasers and Electro-Optics (CLEO)

作者： Hanyu Zheng Quan Liu You Zhou Ivan I. Kravchenko Yuankai Huo Jason Valentine Department of Electrical and Computer Engineering Vanderbilt University Nashville TN USA Department of Computer Science Vanderbilt University Nashville TN USA Interdisciplinary Materials Science Program Vanderbilt University Nashville TN USA Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN USA Department of Mechanical Engineering Vanderbilt University Nashville TN USA

A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accurac... 详细信息

ISBN: (纸本)9781957171258

关键词： image analysis image resolution Machine vision Neural networks optical systems Signal processing

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DPG-Unet for reflections removal on cigarette boxes surface 4

DPG-Unet for reflections removal on cigarette boxes surface

引用

4th International conference on Testing Technology and Automation Engineering, TTAE 2024

作者： Bao, Wenhua Gao, Zunhua Yang, Yaowei Kan, Jianting Bao, Wenting Li, Jiakang Gold Leaf Manufacturing Center China Tobacco Henan Industrial Co. Ltd. Zhengzhou450016 China Key Laboratory of Tobacco Processing Zhengzhou Tobacco Research Institute of CNTC Zhengzhou450001 China

ISBN: (纸本)9781510686649

The variety of cigarette box printing inks, diverse patterns, and extensive use of reflective laser materials pose significant challenges for quality inspection. Currently, cigarette box quality inspection relies on slow and subjective manual methods, falling short of accurate and objective standards. However, while digital inspection holds promise, it faces challenges from strong reflections during image capture, leading to data distortion. Aiming to address this concern, we propose a network named Dual-stream Pyramid Gated-SwinUnet (DPG-UNet). Firstly, the dual-stream interaction mechanism enhances information exchange between features at different scales. Secondly, the pyramid model more effectively captures multi-scale features, improving reflection removal accuracy. Finally, the proposed Gated-SwinUnet architecture, which significantly enhances feature representation capabilities by integrating the gating mechanism with the SwinUnet model. Our design uses the adjustment effect of the gating mechanism to optimize the interaction between the reflection layer and the projection layer, achieving deep fusion and effective separation of features. The experimental outcomes confirm the effectiveness of our approach significantly enhances the ability to remove reflections from cigarette box surfaces, providing higher-quality image inputs for subsequent analysis and automated inspection. © 2024 SPIE.

关键词： Inspection

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Non-boolean computing based on linear waves and oscillators

Non-boolean computing based on linear waves and oscillators

引用

European conference on Solid-State Device Research (ESSDERC)

作者： György Csaba Ádám Papp Wolfgang Porod Ramazan Yeniceri Center for Nano Science and Technology University of Notre Dame (NDnano) Notre Dame IN USA

We investigate, how linear or weakly nonlinear oscillatory systems (coupled nanoscale oscillators and propagating spin-waves) can be used as non-Boolean computing systems. We study two model systems: nearest-neighbor connected harmonic oscillators and propagating spin-waves. We argue that these systems may realize efficient co-processors for some demanding applications (image processing, associative memories, scientific computations), where digital CMOS solutions are notably inefficient. Wave-based processing architectures may use emerging nano-scale oscillators as device components, potentially surpassing end-of-roadmap CMOS performance.

关键词： Oscillators Computer architecture Discrete Fourier transforms Nanoscale devices optical computing optical attenuators optical imaging

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Estimating Rice LAI Based on digital Camera and image processing

Estimating Rice LAI Based on Digital Camera and Image Proces...

引用

2010 International conference on Remote Sensing (ICRS 2010)

作者： Pan Guiying, Zhou Lianqing, Shi Zhou Institute of Agricultural Remote Sensing and Information system Zhejiang University Hangzhou, China

A fast, low-cost method for rice canopy leaf area index (LAI) estimation is proposed. Take photos of rice canopy with a 57° view angle from above using a common digital camera. Extract canopy gap fraction by digital image processing technology. Then LAI can be estimated using canopy gap fraction based on optical transmission model and Leaf angle distribution model. AccuPAR-LP80 and direct measurement were employed to provide Comparative data. Comparison of the three methods, we obtained high correlation coefficients(R2≥0.6). The result shows that the method is especially suitable for estimating LAI in early growth stage of rice.

关键词： rice canopy image processing gap fraction Beer-Lambert Law leaf area index

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Parallel approaches to integration with applications in optical coherence tomography

Parallel approaches to integration with applications in opti...

引用

International conference on Signal processing and Communication Systems, ICSPCS

作者： Konstantin Kapinchev Frederick Barnes Sylvain Rivet Adrian Bradu Adrian Podoleanu School of Computing University of Kent Canterbury UK School of Physical Sciences University of Kent Canterbury UK

ISBN: (纸本)9781509009428

This paper presents a comparison between three GPU-based parallel approaches to integration in digital signal processing (DSP). In many cases in practice, the integration is applied on large signals. Its implementation in real-time systems imposes strict limitations on the computational time. In cases where sequential implementation does not meet these limitations, parallel optimization is expected to provide a solution. The discussed parallel approaches are based on the many-core architecture of the GPU. These approaches are employed in generating synthesized scanning laser ophthalmoscopy (SLO) images. These images are based on multiple en-face images, generated by optical coherence tomography (OCT) system. Optimal parallel approaches, which meet the real-time criterion, are identified.

关键词： Graphics processing units Kernel Imaging Mathematical model Optimization image resolution Real-time systems

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GPU implementation of cross-correlation for image generation in real time

GPU implementation of cross-correlation for image generation...

引用

International conference on Signal processing and Communication Systems, ICSPCS

作者： Konstantin Kapinchev Adrian Bradu Frederick Barnes Adrian Podoleanu School of Computing University of Kent Canterbury England School of Physical Sciences University of Kent Canterbury England

This paper presents an approach for parallel implementation of cross-correlation using the graphics processing unit (GPU). Cross-correlation is a central digital signal processing (DSP) algorithm with applications in many areas. In many cases in real time systems, a sequential implementation of the cross-correlation creates a performance bottleneck and prevents the systems from reaching the real time criterion. On the other hand, a GPU-based parallel implementation of the cross-correlation offers a solution to this problem. The proposed parallel implementation is integrated in an optical coherence tomography (OCT) system. As a result, the OCT system is able to generate up to 40 en-face images from different depths from semitransparent objects in real time. This number of images provides the necessary information when OCT is used in areas such as ophthalmology, where detailed imagery of the retina, the optic nerve, and other parts of the eye is essential for accurate diagnosis.

关键词： Graphics processing units Real-time systems Mathematical model Computer architecture Correlation digital signal processing Signal processing algorithms

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Parallel processing systems for passive ranging during helicopter flight

Parallel processing systems for passive ranging during helic...

引用

IEEE conference on Control Technology and Applications (CCTA)

作者： Sridhar Suorsa NASA Ames Research Center Moffett Field CA USA

images from an electro-optical sensor provide a covert way of detecting objects in the flight path of a low-flying helicopter. Passive ranging consists of processing a sequence of images using techniques based on optical flow computation and recursive estimation. The passive ranging algorithm has to extract obstacle information from imagery at rates varying from five to thirty or more frames per second depending on the helicopter speed. We have implemented and tested the passive ranging algorithm off-line using helicopter-collected images. However, the real-time data and computational requirements of the algorithm are beyond the capability of any off-the-shell microprocessor or digital signal processor. This paper describes the computational requirements of the algorithm and uses parallel processing technology to meet these requirements. Various issues in the selection of a parallel processing architecture are discussed and four different computer architectures are evaluated regarding their suitability to process the algorithm in real-time.< >

关键词： Helicopter control Machine vision Parallel architectures Parallel processing image sequence analysis Parallel algorithms

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Markovian Random Fields and Comparison Between Different Convex Criterion

Markovian Random Fields and Comparison Between Different Con...

引用

International conference on Electronics, Communications and Computers (CONIELECOMP)

作者： Jose Ismael De la Rosa Jesus Villa Maria A. Araiza Signal Processing Laboratory Universidad Autónoma de Zacatecas Zacatecas Mexico

The present work illustrates some recent alternative methods to deal with digital image reconstruction. This collection of methods are inspired on the use of a class of Markov chains best known as Markov random fields (MRF). All of these new methodologies are also based on the prior knowledge of some information which will permit more efficiently modeling the image acquisition process. The methods based on the MRF's are proposed and analyzed in a Bayesian framework and their principal objective is to eliminate those effects caused by the excessive smoothness on the reconstruction process of images which are rich in contours or edges. In order to respond to the edge preservation, the use of certain convexity criteria are proposed which will lead to obtain adequate weighting of cost functions (half-quadratic) in cases where discontinuities are remarked and, even better, for cases where such discontinuities are very smooth. The final aim is to apply these methods to problems in optical instrumentation

关键词： image restoration Markov random fields Bayesian methods Degradation Nonlinear distortion image reconstruction optical distortion optical noise Additive noise Gaussian noise

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