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

共 15616 条记录，以下是4491-4500 订阅

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SRIANN: SPHERE RING INTERSECTION FOR APPROXIMATE NEAREST NEIGHBOR SEARCH IN viDEOS 25

SRIANN: SPHERE RING INTERSECTION FOR APPROXIMATE NEAREST NEI...

引用

25th IEEE International conference on image processing (ICIP)

作者： Chen, Yi-Ting Tu, Wei-Chih Chien, Shao-Yi Natl Taiwan Univ Grad Inst Elect Engn Taipei Taiwan

ISBN: (纸本)9781479970612

In the field of approximate nearest neighbor (ANN) search, rare of the existing approaches are tailored for video applications. The Ring Intersection Approximate Nearest Neighbor (RIANN) is the first ANN search algorithm for videos. It achieves real-time by performing the ANN search on the sparse grid and interpolating others. For some applications, the dense ANN search is needed to ensure the searching accuracy. To achieve dense ANN search in real-time, we consider the parallel computing as a solution. However, the RIANN algorithm is not suitable for parallel computing as the algorithm itself suffers from bad thread coherency. In this paper, we propose the Sphere Ring Intersection Approximate Nearest Neighbor (SRIANN), which solves the problem of bad thread coherency and improves the accuracy of ANN search compared to the original RIANN method. The experimental results show that the proposed method is the only one able to perform dense ANN search for CIF videos in real-time.

关键词： Instruction sets videos Graphics processing units Real-time systems Databases Approximation algorithms Parallel processing"

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Automated image processing algorithm for infrared meibography

Automated image processing algorithm for infrared meibograph...

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Imaging systems and Applications, ISA 2018

作者： Llorens-Quintana, Clara Syga, Piotr Robert Iskander, D. Department of Biomedical Engineering Wroclaw University of Science and Technology Wroclaw Poland Department of Computer Science Wroclaw University of Science and Technology Wroclaw Poland

Infrared meibography is a technique for imaging meibomian glands that are located in the rim of the eyelids. An automated methodology for analysing these images was proposed to assess meibomian glands structure and he... 详细信息

ISBN: (纸本)9781943580446

关键词： algorithms image processing algorithms In vivo imaging Infrared imaging Nonlinear spatial filtering Proteins

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A method of road extraction from high resolution remote image based on Delaunay algorithms

A method of road extraction from high resolution remote imag...

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International conference on Robotics and Intelligent System (ICRIS)

作者： Wang Zhendong Liu Xing Liu Lian Shi Junjiong Chongqing Univ Sch Civil Engn Chongqing Peoples R China

ISBN: (纸本)9781538665800

Aimed at the problem of the insufficient use of road features in traditional road extraction methods. To overcome the limitations, a new road extraction method from high resolution satellite image based on Delaunay algorithms was proposed in this paper. Firstly, the images should be pretreated by edge detection and binarization, etc. Secondly, the Delaunay triangulations were constructed according to the Delaunay triangulation algorithm, which could represent the image information. Each triangle in Delaunay triangulation was defined as the basic processing unit, namely triangle-unit. Thirdly, combined with the road features, the four feature parameters were put forward after analyzing and summarizing the characters of triangle-units. Then, the triangle-units belonging to road section were extracted depending on the feature parameters. Finally, road edges and road centerlines were automatically extracted by road triangle-units. In this paper, the feasibility of the method was verified by the road extraction experiment of UAV images.

关键词： Road extraction Delaunay algorithms Triangle unit Feature parameter

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Signal Reconstruction From Modulo Observations

Signal Reconstruction From Modulo Observations

引用

IEEE Global conference on Signal and Information processing (GlobalSIP)

作者： viraj Shah Chinmay Hegde ECpE Department Iowa State University Ames IA

We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a (relatively) less well-known imaging mechanism called modulo imaging, which can be used to extend the dynamic range of imaging systems; variations of this model have also been studied under the category of phase unwrapping. Signal reconstruction in the under-determined regime with modulo observations is a challenging ill-posed problem, and existing reconstruction methods cannot be used directly. In this paper, we propose a novel approach to solving the inverse problem limited to two modulo periods, inspired by recent advances in algorithms for phase retrieval under sparsity constraints. We show that given a sufficient number of measurements, our algorithm perfectly recovers the underlying signal and provides improved performance over other existing algorithms. We also provide experiments validating our approach on both synthetic and real data to depict its superior performance.

关键词： Dynamic range Sensors Standards Minimization image reconstruction image sensors

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7th International conference on Big Data Analytics, BDA 2019

7th International Conference on Big Data Analytics, BDA 2019

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7th International conference on Big Data Analytics, BDA 2019

ISBN: (纸本)9783030371876

The proceedings contain 25 papers. The special focus in this conference is on International conference on Big Data Analytics . The topics include: Analyzing domain knowledge for big data analysis: A case study with urban tree type classification;market intelligence for agricultural commodities using forecasting and deep learning techniques;TKG: efficient mining of top-K frequent subgraphs;why multilayer networks instead of simple graphs? modeling effectiveness and analysis flexibility and efficiency!;gossip based distributed real time task scheduling with guaranteed performance on heterogeneous networks;data-driven optimization of public transit schedule;discovering spatial high utility frequent itemsets in spatiotemporal databases;efficient algorithms for flock detection in large spatio-temporal data;local temporal compression for (globally) evolving spatial surfaces;deep learning models for medical image analysis: challenges and future directions;an explicit relationship between sequential patterns and their concise representations;a novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories;analysis and recognition of hand-drawn images with effective data handling;real time static gesture detection using deep learning;interpreting context of images using scene graphs;deep learning in the domain of near-duplicate document detection;recent advances and challenges in design of non-goal-oriented dialogue systems;data cube is dead, long life to data cube in the age of web data;improving result diversity using query term proximity in exploratory search;segment-search vs knowledge graphs: making a key-word search engine for web documents;pairing users in social media via processing meta-data from conversational files.

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Intuitive solution for Robot Maze Problem using image processing

Intuitive solution for Robot Maze Problem using Image Proces...

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IEEE Bombay Section Signature conference (IBSSC)

作者： Advait Ambeskar Anup Bondre Varsha Turkar Hetal Gosavi Dept. of Electronics Engineering Vidyalankar Institute of Technology Mumbai India Dept. of Electronic and Telecommunication Engineering Don Bosco College of Engineering Goa India

ISBN: (纸本)9781538674765

Path finding is an important problem in robot design and automation that requires quick error-free solutions that rely on external environment. Automated mobile robotic systems employ various techniques to determine the path that the robot needs to follow to reach the destination to perform its function. Path finding problems can utilize various algorithms to solve the problem. Sensor data can be used as a reference to determine the path to be followed from the start point to the destination. However, this technique is highly localized and does not provide the ability to make decisions by taking global constraints or conditions into consideration. image processing techniques are employed extensively to provide a solution based on global conditions. The proposed method involves use of image processing to process the acquired image of the maze from a mounted camera system. The processing steps are used to provide steps which the robot can follow to reach from its current position to the final position. This project implements a universal algorithm to allow the robot to maneuver autonomously.

关键词： Maze image processing Path finding Path Direction envelop algorithm Dijkstras Algorithm Mazes image processing Robot Byways generalized algorithm robot design destination Current Position Automation

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Convolutional Neural Networks for image Denoising in Infocommunication systems

Convolutional Neural Networks for Image Denoising in Infocom...

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International Scientific-Practical conference - Problems of Infocommunications Science and Technology (PIC S&T)

作者： Sheremet, Oleksii Sheremet, Kateryna Sadovoi, Oleksandr Sokhina, Yuliia Donbass State Engn Acad Kramatorsk Ukraine Dniprovsk State Tech Univ Kamyanske Ukraine

ISBN: (纸本)9781538666111

image denoising is an urgent task that arises in image processing and transmission. images are an integral part of content transmitted in infocommunication systems. Traditional statistical image filtering algorithms are not always effective for the random nature of the noise spectrum. image denoising by convolutional neural networks is a modern and effective approach. The article is devoted to demonstrate the possibilities of using denoising convolutional neural networks to solve one of the most difficult tasks that developers face when performing the transfer of graphical information in infocommunication systems - denoising. Unlike traditional algorithms, denoising convolutional neural networks have architecture features that allow them to perform effectively image filtering with unknown noise level. It is suggested to use denoising convolutional neural networks to generate a correction signal in the infocommunication system, which transmits a noisy image. The article proposes to use denoising convolutional neural networks to generate a correction signal in the infocommunication system, which transmits a noisy image. Such pre-trained correction elements on a large and diverse image dataset can be easily fine-tuned for special filtering tasks.

关键词： image denoising denoising convolutional neural network infocommunication system

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Segmentation of Digital images of Aerial Photography

Segmentation of Digital Images of Aerial Photography

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IEEE International conference on Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)

作者： Iryna Yurchuk Vladyslav Kovdrya Lolita Bilyanska Taras Shevchenko National University of Kyiv Kyiv Ukraine National Aviation University Kyiv Ukraine

ISBN: (纸本)9781728125930

For today, autonomous UAVs are a combination of artificial intelligence, mechanical devices, and navigational instruments. To save computing resources and improve the quality of their navigation, motion control systems, recognition, etc., real-time UAV's video has to be preprocessed by segmentation or clustering algorithms. In this work, the analysis of parameters of effective graph-based (EGB) and pyramidal segmentation algorithms (PSA) was obtained for digital images of aerial photography. The authors used RGB, Lab, and HSV (BHS) color models. According to the results of testing EGB algorithm is faster, but its result of segmentation is ordinary. Whereas, PSA produces a result that is closer to human perception but its disadvantage is a long processing time. Authors recommended Lab and HBS formats of image, since their segmentation results are more effective than, for example, at RGB.

关键词： image segmentation Object segmentation Quality assessment Digital images Clustering algorithms Photography Real-time systems

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Formation of a Model for End-to-End Data Mining Technology for Construction and processing of RAW Big Data for Computer vision systems

Formation of a Model for End-to-End Data Mining Technology f...

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International Multi-conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： A.A. Mikhaylov Alatar Ali Ikhsan South-Russia State Polytechnic University (Novocherkassk Polytechnic Institute) SRSPU (NPI) Novocherkassk Russia

This article presents a comparative analysis of dynamic systems with full memory, which pass through all States in a continuous manner without loss and are represented by the convolution integral, Markov systems with a complete lack of memory and ereditar systems, occupying an intermediate place between Markov and simple systems with full memory for use in the production and processing of dynamic images. Possibility of use of the simplest wavelet transforms in the formation of hereditary models for the algorithms to handle dynamic images with the parent wavelet-function is a step function Haar (integration of the first order) that can be used in the generalized spectral analysis of dynamic images.

关键词： Wavelet transforms Mathematical model Distortion Dynamical systems image restoration Big Data

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Parallel processing of solar image restoration with phase diversity technique 6

Parallel processing of solar image restoration with phase di...

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conference on Adaptive Optics systems vi

作者： Suzuki, Takahiro Miura, Noriaki Kuwamura, Susumu Oya, Shin Ueno, Satoru Nakatani, Yoshikazu Ichimoto, Kiyoshi Kitami Inst Technol Dept Comp Sci 165 Koen Cho Kitami Hokkaido 0908507 Japan Natl Astron Observ Japan TMT J Project Off 2-21-1 Osawa Mitaka Tokyo 1818588 Japan Kyoto Univ Hida Observ Grad Sch Sci Takayama Gifu 5061314 Japan

ISBN: (数字)9781510619609

ISBN: (纸本)9781510619609

We aim at improving solar images partially compensated by Adaptive Optics (AO) or Ground-Layer (GL) AO using a phase diversity (PD) method. To reduce computational time in the PD execution, we develop a computer cluster system that enables restoration of several images in parallel. We set a PD-observational system downstream of an AO system in the Hida Observatory in Japan. Driving the AO system, we recorded focused and defocused solar images. They were segmented to partial images, and then were restored by the PD method. We show the results of solar image restoration, and also demonstrate the reduction of processing time by the computer cluster.

关键词： Parallel processing Phase-diversity method image restoration MSMPI Solar image

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