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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

共 16349 条记录，以下是4991-5000 订阅

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Accelerating short range MIMO imaging with optimized Fourier processing 23

Accelerating short range MIMO imaging with optimized Fourier...

引用

conference on Passive and Active MillimeterWave Imaging XxiII

作者： Fromenteze, Thomas Yurduseven, Okan Fabien, Berland Cyril, Decroze Smith, David R. Yarovoy, Alexander G. Univ Limoges XLIM UMR 7252 F-87000 Limoges France Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Ctr Wireless Innovat Inst Elect Commun & Informat Technol Belfast BT3 9DT Antrim North Ireland Duke Univ Ctr Metamat & Integrated Plasmon Durham NC 27708 USA Delft Univ Technol Microwave Sensing Signals & Syst NL-2628 CD Delft Netherlands

ISBN: (数字)9781510636002

ISBN: (纸本)9781510636002

In this paper, we describe the recent development of new algorithms applied to short-range radar imaging. Facing the limitations of classical backpropagation algorithms, the use of techniques based on Fast Fourier Transforms has led to substantial image computation accelerations, especially for Multiple-Input Multiple-Output systems. The necessary spatial interpolation and zero-padding steps are still particularly limiting in this context, so it is proposed to replace it by a more efficient matrix technique, showing improvements in memory consumption, image computation speed and reconstruction quality.

关键词： MIMO radar microwave imaging millimeter wave imaging Fourier processing omega-k algorithm

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A Survey of Transformer-Based Few-Shot image Classification Techniques

A Survey of Transformer-Based Few-Shot Image Classification ...

引用

Natural Language processing (ICNLP), International conference on

作者： Chaoqi Song Ying Liu Jinglu He Center for Image and Information Processing Xi’an University of Posts and Telecommunications Xi’an China

ISBN: (数字)9798350349115

ISBN: (纸本)9798350349122

Few-shot image classification is a critical issue in the field of computer vision, facing challenges related to data scarcity and model generalization. Transformer models, representing self-attention mechanisms, have made significant strides in recent years in the domain of few-shot classification. This paper commences with an introduction to the background and challenges of few-shot classification, along with a description of the principles and structure of the Transformer model. Subsequently, the paper categorizes Transformer-based few-shot image classification methods into meta-learning-based, metric-learning-based, fine-tuning-based, and feature-enhancement-based approaches, whose theoretical foundations of each method are expounded and the comparative analysis of representative algorithms are also provided. Furthermore, the paper delves into prospective research directions in this field.

关键词： Surveys Representation learning Learning systems Computational modeling Neural networks Computer architecture Transformers Natural language processing Classification algorithms image classification

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Using graphics devices in reverse: GPU-based image processing and Computer Vision

Using graphics devices in reverse: GPU-based Image Processin...

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2008 IEEE International conference on Multimedia and Expo, ICME 2008

作者： Fung, James Mann, Steve NVIDIA Corporation 2701 San Tomas Expressway Santa Clara CA United States University of Toronto Dept. of Electrical and Computer Engineering 10 King's College Road Mailstop. B540 Toronto ON Canada

ISBN: (纸本)9781424425716

Graphics and vision are approximate inverses of each other: ordinarily Graphics processing Units (GPUs) are used to convert "numbers into pictures" (i.e. computer graphics). In this paper, we discus the use of GPUs in approximately the reverse way: to assist in "converting pictures into numbers" (i.e. computer vision). For graphical operations, GPUs currently provide many hundreds of gigaflops of processing power. This paper discusses how this processing power is being harnessed for image processing and Computer Vision, thereby providing dramatic speedups on commodity, readily available graphics hardware. A brief review of algorithms mapped to the GPU by using the graphics API for vision is presented. The recent NVIDIA CUDA programming model is then introduced as a way of expressing program parallelism without the need for graphics expertise. © 2008 IEEE.

关键词： Graphics processing unit

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A Retinex Inspired Bilateral Filter for Enhancing images under Difficult Light Conditions 16

A Retinex Inspired Bilateral Filter for Enhancing Images und...

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16th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 16th International conference on Computer Vision Theory and Applications (VISAPP)

作者： Lecca, Michela Fdn Bruno Kessler Via Sommar 18 Trento Italy

ISBN: (纸本)9789897584886

This paper presents SuPeR-B, a novel, Retinex inspired color spatial algorithm to enhance images acquired under difficult light conditions, such as pictures containing dark and bright regions caused by backlight and/or local, not diffused spotlight. SuPeR-B takes as input a color image and improves its readability by processing its color channels independently in accordance with some principles of the Retinex theory. Precisely, SuPeR-B re-works the channel intensity of each pixels accounting for differences computed both in the spatial and intensity domains. In this way, SuPeR-B acts as a bilater filter. The experiments, carried out on a real-world dataset, shows that SuPeR-B ensures good enhancement results, also in comparison with other state-of-the-art algorithms: SuPeR-B improves the overall content of the image, making the dark regions brighter and more contrasted, while lowering possible chromatic dominants of the light.

关键词： Retinex Bilateral Filter Spatial Color Algorithm image Enhancement

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Adaptive color space switching for face tracking in multi-colored lighting environments

Adaptive color space switching for face tracking in multi-co...

引用

5th IEEE International conference on Automatic Face and Gesture Recognition

作者： Stern, H Efros, B Ben Gurion Univ Negev Dept Ind Engn & Management IL-84105 Beer Sheva Israel

ISBN: (纸本)0769516025

There are many studies that use color space models (CSM) for detection of faces in an image. Most researchers a priori select a given CSM, and proceed to use the selected model for color segmentation of the face by constructing a color distribution model(CDM). There is limited work on finding the overall best CSM. We develop a procedure to adaptively change the CSM throughout the processing of a video. We show that this works in environments where the face moves through multi-positioned light sources with varying types of illumination. A test of the procedure using the 2D color space models;RG, rg, HS, YQ and CbCr found that switching between the color spaces resulted in increased tracking performance. In addition, we have proposed a new performance measure for evaluating color-tracking algorithms, which include both accuracy, and robustness of the tracking window. The methodology developed can be used to find the optimal CSM-CDM combination in adaptive color tracking systems.

关键词： image processing color segmentation face tracking color space model selection adaptive color segmentation

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SPACEBORNE SAR image SIMULATION BASED ON MULTI-POLARIZED SAR AIRBORNE DATA

SPACEBORNE SAR IMAGE SIMULATION BASED ON MULTI-POLARIZED SAR...

引用

IET International Radar conference 2023, IRC 2023

作者： Chen, xi Chen, Renyuan Earth Observation Research and Development Center No. 38 Research Institute of China Electronic Technology Group Corporation No. 199 Xiangzhang Avenue High tech Development Zone Anhui Hefei China

ISBN: (纸本)9781839539954

SAR image simulation is a technology that simulates SAR image features or the working process of SAR systems on a computer platform to obtain simulated SAR images. It overcomes the high cost and long cycle of obtaining SAR images with different parameters in real SAR systems, and plays an important role in SAR system development and algorithm *** paper aims to solve the problems in existing technologies by providing a method for predicting multi-spaceborne polarimetric SAR images using airborne high-resolution SAR data. The correlation model between polarimetric distortion parameters, target polarimetric complex data information (including amplitude and phase), and the echoes of various polarimetric channels on board the satellite was reconstructed to generate and imaged the spaceborne SAR echoes. This simulation method was validated and evaluated through airborne and spaceborne SAR data. The results showed that the accuracy of typical scene similarity and polarimetric feature similarity estimation was better than 80%. © The Institution of Engineering & Technology 2023.

关键词： Polarimeters

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Wavefront coded image restoration algorithm based on compressed sensing for off-axis mirror system 7

Wavefront coded image restoration algorithm based on compres...

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7th Asia Pacific conference on Optics Manufacture (APCOM)

作者： Yi, Huang Jun, Chang Li Dongmei Cao Jiajing Shan, Du Beijing Inst Technol Beijing 100081 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Inst Semicond Beijing 100083 Peoples R China

ISBN: (数字)9781510652095

ISBN: (纸本)9781510652095;9781510652088

By combining optical systems and image processing, wavefront coding can greatly expand the depth of focus and depth of field of optical systems. It has been widely used in iris detection, high-power microscopic objective lens, infrared optical system athermalized, and so on. At present, the image restoration algorithms commonly used in wavefront coding are based on deconvolution, Wiener filtering, and so on. Although these algorithms can achieve an excellent image restoration effect, they will also bring boundary ringing effects and artifacts to the image. When the image is disturbed by strong noise, the restoration effect will also be seriously affected. To solve these problems, a wavefront coded image restoration algorithm based on compressed sensing is proposed in this paper. The strong data reconstruction ability of the compressed sensing restoration algorithm is used to restore the encoded image obtained by the wavefront coding system. This method can effectively suppress noise and reconstruct the image without artifact and boundary ringing effect. Through the comparison of simulation results, the effectiveness of the proposed method is verified.

关键词： wavefront coding compressed sensing artifact

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The Real-Time High-Voltage Switch Position Detection Method 3

The Real-Time High-Voltage Switch Position Detection Method

引用

3rd IEEE International conference on Electrical Engineering, Big Data and algorithms, EEBDA 2024

作者： Yang, Jinming Ma, Jing Yang, Jihaoyu Luo, Weiqi Shaanxi University of Science & Technology Xi'an China

ISBN: (纸本)9798350380989

This method discloses the real-time high-voltage switch position detection method, which is implemented in accordance with the following steps: installing a coms photoelectric sensor on the video acquisition unit, and installing the video acquisition unit at a specified position on the isolation switch housing;illuminating the inside of the isolation switch through LED devices in the switch detection device, and collecting the action video of the isolation switch as the raw video signal through the video acquisition unit. The video acquisition unit collects the action video of the isolating switch as the original video signal;the coms photoelectric sensor converts the light signal in the original video signal into an electric signal, and then sends the electric signal to the video server for processing to get the RGB spatial area image;the RGB spatial area image is transmitted to the on-line monitoring backstage system, and the movement trajectory of the high-voltage switch is judged through the LK optical flow method to get the actual position of the contacts. This detection method solves the hidden problem of GIS equipment operation and maintenance that the current GIS products need manual observation and the data cannot be transmitted to the background in real time. © 2024 IEEE.

关键词： High-Voltage Switch Detection Real-time Monitoring Smart Electronics

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Automatic extraction and identification of lines of communication from high-resolution multispectral imagery 2

Automatic extraction and identification of lines of communic...

引用

conference on algorithms for Multispectral and Hyperspectral imagery II

作者： West, KF Lersch, JR Iverson, AE Webb, BN Stevenson, HA SCI APPLICAT INT CORP TUCSONAZ 85711

ISBN: (纸本)0819421391

Use of remotely sensed imagery to map lines of communication or revise existing maps is currently a labor-intensive process. In this paper, we present a system for automatically extracting lines of communication from high- resolution (less than 5-meter spatial resolution) multispectral imagery. Positive systems ADAR 5500 imagery is used to demonstrate system functionality. Our system includes automatic detection and identification algorithms, a geospatial database for storage and retrieval of results, a change detection component that compares newly detected lines of communication against stored database information, and a user interface that allows operator review and editing of automatically extracted results.

关键词： multispectral lines of communication roads mapping image processing

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A Statistical approach to line segmentation in handwritten documents

A Statistical approach to line segmentation in handwritten d...

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conference on Document Recognition and Retrieval xiV

作者： Arivazhagan, Manivannan Srinivasan, Harish Srihari, Sargur SUNY Buffalo CEDAR Amherst NY 14228 USA

ISBN: (纸本)9780819466136

A new technique to segment a handwritten document into distinct lines of text is presented. Line segmentation is the first and the most critical pre-processing step for a document recognition/analysis task. The proposed algorithm starts, by obtaining an initial set of candidate lines from the piece-wise projection profile of the document. The lines traverse around any obstructing handwritten connected component by associating it to the line above or below. A decision of associating such a component is made by (i) modeling the lines as bivariate Gaussian densities and evaluating the probability of the component under each Gaussian or (ii) the probability obtained from a distance metric. The proposed method is robust to handle skewed documents and those with lines running into each other. Experimental results show that on 720 documents (which includes English,Arabic and children's handwriting) containing a total of 11, 581 lines, 97.31 % of the lines were segmented correctly. On an experiment over 200 handwritten images with 78, 902 connected components, 98.81 % of them were associated to the correct lines.

关键词： image segmentation Detection and tracking algorithms image processing algorithms and systems Mirrors Switches Binary data Electronic imaging Matrices Statistical analysis Statistical modeling

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