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

共 12594 条记录，以下是4901-4910 订阅

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Two microphones speech enhancement system based on a double fast recursive least squares (DFRLS) algorithm 8

Two microphones speech enhancement system based on a double ...

引用

8th European Signal processing conference, EUSIPCO 1996

作者： Gabrea, M. Mandridake, E. Menez, M. Najim, M. Vallauri, A. Equipe Signal et Image ENSERB and GDR-134 CNRS BP 99 Talence33 402 France LASSY-I3S Nice France Texas-Instruments Villeneuve-Loubet France

In this paper a symmetric feedback implementation scheme of a two microphones speech enhancement is presented. We consider the coupling systems modelled as a linear time-invariant Finite Impulse Response (FIR) filters and propose a new recursive-based adaptive filter solution to enhance the noisy speech . The optimum filter weight adaptation is based on a Double Fast Recursive Least Squares (DFRLS) algorithm. This approach can be extended for a subclass of signal separations where the direct link is stronger than the interference link in the both channels. A comparative study with other adaptive algorithms shows the superiority of the DFRLS in SNR performance improvement. © 2015 European Signal processing conference, EUSIPCO. All rights reserved.

关键词： FIR filters

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Modeling Space-Based Multi-Spectral Imaging systems with DIRSIG

Modeling Space-Based Multi-Spectral Imaging Systems with DIR...

引用

conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery XVII

作者： Brown, Scott D. Sanders, Niek J. Goodenough, Adam A. Gartley, Michael Rochester Inst Technol Chester F Carlson Ctr Imaging Sci Digital Imaging & Remote Sensing Lab Rochester NY 14623 USA

ISBN: (纸本)9780819486226

The Landsat Data Continuity Mission (LDCM) focuses on a next generation global coverage, imaging system to replace the aging Landsat 5 and Landsat 7 systems. The major difference in the new system is the migration from the multi-spectral whiskbroom design employed by the previous generation of sensors to modular focal plane, multi-spectral pushbroom architecture. Further complicating the design shift is that the reflective and thermal acquisition capability is split across two instruments spatially separated on the satellite bus. One of the focuses of the science and engineering teams prior to launch is the ability to provide seamless data continuity with the historic Landsat data archive. Specifically, the challenges of registering and calibrating data from the new system so that long-term science studies are minimally impacted by the change in the system design. In order to provide the science and engineering teams with simulated pre-launch data, an effort was undertaken to create a robust end-to-end model of the LDCM system. The modeling environment is intended to be flexible and incorporate measured data from the actual system components as they were completed and integrated. The output of the modeling environment needs to include not only radiometrically robust imagery, but also the meta-data necessary to exercise the processing pipeline. This paper describes how the Digital Imaging and Remote Sensing image Generation (DIRSIG) model has been utilized to model space-based, multi-spectral imaging (MSI) systems in support of systems engineering trade studies. A mechanism to incorporate measured focal plane projections through the forward optics is described. A hierarchal description of the satellite system is presented including the details of how a multiple instrument platform is described and modeled, including the hierarchical management of temporally correlated jitter that allows engineers to explore impacts of different jitter sources on instrument-to-instrum

关键词： Landsat LDCM scene simulation image simulation DIRSIG

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Sign language identification using image processing techniques

Sign language identification using image processing techniqu...

引用

International conference on image processing and Capsule Networks, ICIPCN 2020

作者： Viloria, Amelec Sanchez, Evelyn Lezama, Omar Bonerge Pineda Universidad de la Costa St. 58 #66 BarranquillaAtlántico Colombia San Pedro Sula Honduras

ISBN: (纸本)9783030518585

In everyday life, computers handle a large amount of data from different sources and formats such as sensors, databases, social networks, texts, etc. In addition to this process, people need to use different communication devices that enrich and facilitate human-computer interaction (HCI). As a result, there is a need to develop computational techniques that allow the search for patterns or characteristic data in images, audio waves, or electrical pulses, among others, to carry out tasks that only humans can do better so far. In this way, to improve both the User Experience (UE) and the ease of interaction with computers, various approaches to natural interaction have been proposed, including digital image processing and acquisition from various data sources such as a sensor like Kinect. In this study, the processing of images obtained from a digital camera is approached to characterize them by using basic computer vision techniques. The paper presents the development of a prototype for supporting people who speak sign language to know if the sign they are doing is correct. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Genetic algorithms

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Automatic snake contours for the segmentation of multiple objects

Automatic snake contours for the segmentation of multiple ob...

引用

2001 IEEE International Symposium on Circuits and systems, ISCAS 2001

作者： Chuang, Cheng-Hung Lie, Wen-Nung Dept. of Electr. Eng. Nat. Chung Cheng Univ. Chia-Yi 621 Taiwan

ISBN: (纸本)0780366859

This paper presents an automatic snake algorithm for the segmentation of multiple objects. Traditional snake algorithms are often short of the capability in processing multi-objects or required to have manually drawn initial contours. Our algorithm is composed of two phases: (1) the active point phase and (2) the active contour phase. In the first phase, grid points distributed everywhere in the image are moved to form clusters near object boundaries. These clustered active points are then processed to obtain polygons as initial snake contours in the second phase. Both the dynamics of active points and deformation of active contours are based on the gradient vector flow (GVF) field with a greedy search strategy. Experiments show good performance of our algorithm in segmenting multiple, concave, as well as overlapped objects, even in noisy images. © 2001 IEEE.

关键词： image segmentation

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People Counting System Using OpenCV algorithms and Edge Computing for Safety Management

People Counting System Using OpenCV Algorithms and Edge Comp...

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2023 IEEE International conference on Smart Information systems and Technologies, SIST 2023

作者： Seitbattalov, Zhexen Y. Canbolat, Huseyin Atanov, Sabyrzhan K. Moldabayeva, Zhanar S. Kyzyrkanov, Abzal E. Maidanov, Adil K. L. N. Gumilyov Eurasian National University Department of Computer and Software Engineering Astana Kazakhstan Ankara Yildirim Beyazit University Department of Electrical and Electronics Engineering Ankara Turkey

ISBN: (纸本)9798350335040

The necessity of ensuring people's safety in urban conditions during gathering in a certain indoor or outdoor area, as well as during the operation of technical equipment, requires measurement of their number, weights, the distance between them, density and many other parameters. The collection of those parameters and analysis allows you to ensure the optimal numerical value of people per area and not exceed the critical peak value, ensuring the safety of people's health and life. However, automating those processes requires stable network bandwidth and enormous computing resources for data transferring to the data center and its processing, as well as applying artificial intelligence algorithms to the data and sending the results back to the end-user. In this paper, to avoid the disadvantages of cloud computing, we consider Raspberry Pi with a camera module as an edge device to develop an automated people-counting system based on using OpenCV algorithms and Edge Computing for Safety Management. The proposed system can be used for indoor or outdoor areas, during scaffolding works and lift's operation for controlling an optimal number of people. As a result of the application the edge computing, network bandwidth and computing resources of the data center have been optimized. © 2023 IEEE.

关键词： image processing

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An image processing Application: Design of VLSI based Bilateral Filter using Distance Matrix Method 2

An Image Processing Application: Design of VLSI based Bilate...

引用

2nd IEEE International conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering, ICATIECE 2022

作者： Saranya, C. Vijayananth, M.V. Mouleeshwaran, S. Kaviyarasu, D. K.S.Rangasamy College of Technology Department of ECE Tiruchengode India

ISBN: (纸本)9781665493963

The entire design structure is being impacted by advancements in electronic technology, which is posing a number of challenges for digital systems. In the fields of communications, image processing, and multimedia, VLSI-based image filter architectures are essential. Numerous applications based on VLSI architecture experience problems with significant size components that result in a filter design error during the floating-point arithmetic stages. The increased complexity of the filter design's component list is the issue encountered in the VLSI architecture. Noise removal often involves using the image filtering technique. There is a greater need for performance-based hardware sorting algorithms for low power embedded real-Time image filtering applications. Noise often taints an image while being transmitted from one location to another. The purpose of the denoising technique is to reduce noise while keeping any potential signal features that may be significant. Compare to the prior method, the usage of multipliers can be reduced based on the techniques of distance matrix and hardware resource sharing. The speed of the proposed VLSI architecture for the bilateral filter can be faster than the existing approach. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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image-based Visual Perception and Representation for Collision Avoidance 30

Image-based Visual Perception and Representation for Collisi...

引用

30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Cigla, Cevahir Brockers, Roland Matthies, Larry CALTECH Jet Prop Lab Pasadena CA 91125 USA

ISBN: (纸本)9781538607336

We present a novel on-board perception system for collision avoidance by micro air vehicles (MAV). An egocentric cylindrical representation is utilized to model the world using forward-looking stereo vision. This efficient representation enables a 360 degrees field of regard, as the vehicle moves around and disparity maps are fused temporally on the cylindrical map. For this purpose, we developed a new Gaussian Mixture Models-based disparity image fusion algorithm, with an extension to handle independently moving objects (IMO). The extension improves scene models in case of moving objects, where standard temporal fusion approaches cannot detect movers and introduce errors in world models due to the common static scene assumption. The on-board implementation of the vision pipeline provides disparity maps on a 360 degrees egocentric cylindrical surface at 10 Hz. The perception output is used in our system by real-time motion planning with collision avoidance on the MAV.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Quality grading of the fruits and vegetables using image processing techniques and machine learning: a review

Quality grading of the fruits and vegetables using image pro...

引用

International conference on Communication systems and Networks, ComNet 2019

作者： Prem Kumar, M.K. Parkavi, A. M.S. Ramaiah Institute of Technology Bengaluru560054 India

ISBN: (纸本)9789811539916

In this paper, the study on fruits and vegetables grading system by using image processing techniques with various machine learning algorithms is presented. In our study, we observed that the images of fruits are used for analyzing about fruits. The parameters like shape, size and color of the samples are extracted for grading the fruits’ quality. Some of the research has done on fruit disease classification. Different techniques like color-based segmentation, artificial neural networks and different classifiers can be used to classify the grade or diseases of the sample. This review work is to provide a study of some machine learning techniques and morphological features with color-based grading for fruits and vegetables. The authors have proposed a hybrid system of fruit grading and disease detection system. © Springer Nature Singapore Pte Ltd 2020.

关键词： Textures

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Advanced algorithms and their parallel architectures for full-HD TV video display processing 13

Advanced algorithms and their parallel architectures for ful...

引用

7th International conference on Ubiquitous Information Management and Communication, ICUIMC 2013

作者： Kim, Young-Chul Jo, Jung-Jae Dept. of Electronic and Computer Engineering Chonnam National University Gwangju Korea Republic of

ISBN: (纸本)9781450319584

This Paper proposes an effective SoC hardware architecture implementing a VDP for Full HD TVs. The proposed architecture makes real time video processing possible with supporting efficient bus architecture and flexible interface. Video IP cores in the VDP are designed to provide a high quality of improved image enhancement function. The Avalon interface is adopted to guarantee real-time capability to IPs as well as SoC integration. This leads to reduced design time and also enhanced designer's convenience due to the easiness in IP addition, deletion, and revision for IP verification and SoC integration. The embedded software makes it possible to implement flexible real-time system by controlling setting parameter details and data transmitting schemes in real-time. The proposed VDP SoC design is implemented on Cyclon III SoPC platform. The experimental results show that our proposed architecture of the VDP SoC successfully provides required quality of video image by converting SD level input to Full HD level image. Copyright © 2013 ACM.

关键词： Real time systems

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Anomaly Detection in Load Forecasting for Electric Vehicles Using image processing Techniques 24

Anomaly Detection in Load Forecasting for Electric Vehicles ...

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24th EEEIC International conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Marandi, Saba Moradzadeh, Arash Moayyed, Hamed Assi, Chadi Ghafouri, Mohsen Vale, Zita Concordia University Ciise Department Montreal Canada Qatar University Electrical Engineering Department Doha Qatar Polytechnic of Porto GECAD-LASI Department Porto Portugal

ISBN: (纸本)9798350355185

The incorporation of electric vehicles (EVs) into the power grid presents significant challenges, particularly in meeting the electricity requirements of EVs through effective distribution strategies, efficient energy allocation, and optimal charging station placement. Accurate forecasting of load demand is critical for both the operational and planning aspects of energy systems, particularly due to the influence of EV travel behavior. This study introduces a hybrid approach to EV load forecasting using deep learning models to tackle this challenge. The proposed CLSTM model integrates convolutional neural network (CNN) and long short-term memory (LSTM) algorithms. Furthermore, the study introduces and applies an anomaly detection model based on image processing. The forecasting process initially uses clean data and then advances to a scenario involving a simulated cyber-attack by manipulating certain input data, which is referred to as a false data injection attack. After analyzing the data using various evaluation metrics and confirming anomalies, the image processing model identifies these anomalies through data visualization. In conclusion, a thorough evaluation of the results under both clean and compromised forecasting conditions unequivocally demonstrates that the CLSTM model not only surpasses the performance of traditional models but also exhibits greater robustness and accuracy. This superior performance highlights the CLSTM model's potential as a more reliable and effective solution for forecasting in scenarios impacted by data integrity issues. © 2024 IEEE.

关键词： Vehicle-to-grid

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