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

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SKIMA 2016 - 2016 10th International conference on Software, Knowledge, Information Management and Applications

SKIMA 2016 - 2016 10th International Conference on Software,...

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10th International conference on Software, Knowledge, Information Management and Applications, SKIMA 2016

ISBN: (纸本)9781509032976

The proceedings contain 79 papers. The topics discussed include: moving object detection and shadow removal in video surveillance;a literature review on phishing crime, prevention review and investigation of gap;a hyperspectral imaging technology based method for identifying the variety of Mengding Mountain tea;hearthstone deck-construction with a utility system;computational complexity of image processing algorithms for an intelligent mobile enabled tongue diagnosis scheme;in the digital future: revitalizing information management systems in afghan settings through not only SQL (MongoDB) technology;solving exercise generation problems by diversity oriented meta-heuristics;and modeling of unmanned aerial vehicle deliveries in populated urban areas for risk management.

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Laparoscopic Video and Ultrasounds image processing in Minimally Invasive Pancreatic Surgeries 4th

Laparoscopic Video and Ultrasounds Image Processing in Minim...

引用

4th KES International conference on Innovation in Medicine and Healthcare (InMed)

作者： Sanchez-Gonzalez, P. Oropesa, I. Rodriguez-Vila, B. Viana, M. Fernandez-Pena, A. Arroyo, T. Sanchez-Margallo, J. A. Moyano, J. L. Sanchez-Margallo, F. M. Gomez, E. J. Univ Politecn Madrid ETSI Telecomunicac Biomed Engn & Telemed Ctr Madrid Spain Biomed Res Networking Ctr Bioengn Biomat & Nanome Madrid Spain Minimally Invas Surg Ctr Jesus Uson Caceres Spain

ISBN: (纸本)9783319396873;9783319396866

Due to limitations in conventional medical imaging and the restrictions imposed by both the anatomy and the surgical approach in pancreatic cancer, there is a need for methods to support intraoperative imaging in order to improve their accurate anatomical localization and the characterization of their nature. Laparoscopic ultrasounds (LUS) images and endoscopic videos can be used to extract useful information during the surgical procedures. A fast approach for acquiring an estimation of the tumor positioning and size through laparoscopic ultrasounds images has been developed. Based on the surgical video, endoscope 3D tracking is achieved by means of a Shape-from-Motion technique. Intraoperative imaging algorithms' validation has been carried out in an ex vivo porcine model and results have shown the viability of exploiting them for structures characterization and their 3D reconstruction.

关键词： image and video guided surgery Intraoperative imaging Laparo-scopic ultrasounds Endoscopic video Segmentation 3D reconstruction Tracking

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Ensemble based classifiers using dictionary learning

Ensemble based classifiers using dictionary learning

引用

International conference on systems, Signals and image processing, IWSSIP

作者： Goksu Tuysuzoglu Nazanin Moarref Yusuf Yaslan Computer Engineering Department Istanbul Technical University Turkey

Dictionary learning is used in signal, image, audio and video processing applications to represent signals by a sparse set of atoms where sparse representations are managed for the problems of compression, denoising, feature extraction and data classification. In many machine learning applications, classifier ensembles are shown to be superior than their single classifier counterparts. In this paper, we propose to use dictionary learning as a base classifier in ensemble learning methods and introduce Random Subspace Dictionary Learning (RDL) and Bagging Dictionary Learning (BDL) algorithms by learning ensembles of dictionaries for each class using feature/instance subspaces. The experimental results show that the ensemble based dictionary learning methods outperform the single dictionary learning (DL), Support Vector Machines (SVM), and SVM based ensemble classifiers.

关键词： Dictionaries Support vector machines Training Bagging Classification algorithms Learning systems image processing

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A comparison of cost construction methods onto a C6678 platform for stereo matching

A comparison of cost construction methods onto a C6678 platf...

引用

conference on Design and Architectures for Signal and image processing

作者： Judicaël Menant Guillaume Gautier Jean-François Nezan Muriel Pressigout Luce Morin IETR / INSA Rennes

Stereo matching techniques aim at reconstructing depth information from a pair of images. The use of stereo matching algorithms in embedded systems is very challenging due to the complexity of state-of-the-art algorithms. Most stereo matching algorithms are made of three different parts; the cost construction, the cost aggregation and the disparity selection. This paper focuses on comparing the efficiency of different cost construction methods implemented on a Digital Signal Processor (DSP) C6678 platform. Three cost construction algorithms based on census, Sum of Absolute Differences (SAD) and Mutual Information (MI) have been compared in terms of output quality and execution time. Each method has its own specificity discussed in this paper. The SAD is the simplest one and is used as reference in this paper. The census has a good output quality, and the MI is faster.

关键词： Signal processing algorithms Digital signal processing Embedded systems Table lookup Mutual information Stereo image processing VLIW

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Ultrasound Reflector Recognition and Tracking Technique for Two-Phase Flow 24

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24th International conference on Nuclear Engineering

作者： Povolny, Antonin Kikura, Hiroshige Tokyo Inst Technol Tokyo Japan

ISBN: (纸本)9780791850053

Two-phase liquid-gas flow occurs in many safety systems of nuclear reactors as well as in reactor cores. To further improve both safety and commercial performance of nuclear reactors, it is important to improve numerical codes and deepen the understanding of two-phase flow with experiments on gas behaviour in liquids. Among several available measurement methods, ultrasound based methods are affordable and easy to use even for high pressure/temperature flows in non-transparent pipes. Ultrasound Reflector Recognition and Tracking Technique (URRTT) has been developed as a new technique. It uses an ultrasound transducer, which emits ultrasound beam into the liquid with gas bubbles. The phase interface reflects the beam and because of that, the phase interface can be recognised in the reflected signal and the distance (from the transducer) can be calculated. The core of this technique is the tracking algorithm that can separate data of different bubbles from each other and obtain their one dimensional trajectories along the measurement line. Trajectories measured simultaneously by more transducers (at different positions or from different directions) can be combined. That means trajectory of the bubble interface from one transducer can be connected to trajectory from a different transducer and by doing so, a secondary data can be obtained using the information that those trajectories belong to the same bubble. As an example, the average two dimensional velocity between two parallel measurement lines can be obtained. Another example is the measurement of the bubble size using one measurement line with two oppositely oriented transducers. Experiments have been conducted to prove the concept of URRTT. Results have been validated to data obtained by the image processing of footage taken by a high speed camera. The results obtained by URRTT can be of high value since each detected bubble is measured individually and thus, difference in the bubble behaviour based on the size,

关键词： Trajectories (Physics) High pressure (Physics) Flow (Dynamics) algorithms Temperature Transparency Ultrasonic transducers Pipes Signals Safety Two-phase flow Ultrasound Transducers Phase interfaces Bubbles image processing Nuclear reactors

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HDR tonal mapping algorithm for mobile devices

HDR tonal mapping algorithm for mobile devices

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IEEE Signal processing algorithms, Architectures, Arrangements, and Applications conference

作者： Adam Konieczka Karol Piniarski Julian Balcerek Division of Signal Processing and Electronic Systems Chair of Control and Systems Engineering Poznan University of Technology Poland

ISBN: (纸本)9781509026616

In this paper the application for generation of HDR image based on two consecutive images (underexposed and overexposed) for Android mobile operating system is presented. The implemented software preserves a lot of image details and maintains a low execution time. These features are particularly important for pictures taken using mobile devices in emergency situations. Such photos may constitute evidence that a threat occurred, was properly recognized, or someone committed a crime. HDR images can be also used in mobile systems for supporting pedestrians or drivers. Obtained results indicate on a high effectiveness of the presented solution.

关键词： HDR Tonal mapping Mobile device image processing Threat recognition

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3rd International conference on Advanced Computing, Networking and Informatics, ICACNI 2015

3rd International Conference on Advanced Computing, Networki...

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3rd International conference on Advanced Computing, Networking and Informatics, ICACNI 2015

ISBN: (纸本)9788132225379

The proceedings contain 72 papers. The special focus in this conference is on Soft Computing Techniques for Advanced Computing, algorithms, Advanced image processing Methodologies and Next Generation Optical systems. The topics include: Fuzzy logic based UPFC controller for voltage stability and reactive control of a stand-alone hybrid system;APSO based weighting matrices selection of LQR applied to tracking control of SIMO system;application of fuzzy soft multi sets in decision-making problems;plant leaf recognition using ridge filter and curvelet transform with neuro-fuzzy classifier;recognition of repetition and prolongation in stuttered speech using Ann;hybrid model with fusion approach to enhance the efficiency of keystroke dynamics authentication;multi-label classifier for emotion recognition from music;a study on cloud based SOA suite for electronic healthcare records integration;protecting the apache hadoop clusters with hadoop authentication process using kerberos;image analysis for efficient surface defect detection of orange fruits;local Gabor wavelet-based feature extraction and evaluation;human interaction recognition using improved spatio-temporal features;common coupled fixed point results in fuzzy metric spaces using JCLR property;comparative analysis on optic cup and optic disc segmentation for glaucoma diagnosis;an improved reversible data hiding technique based on histogram Bin shifting;a novel approach towards detection and identification of stages of breast cancer;implementation and comparative study of image fusion methods in frequency domain and iris recognition using textural edgeness features.

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Analysis of the complexity of the HEVC motion estimation

Analysis of the complexity of the HEVC motion estimation

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International conference on systems, Signals and image processing, IWSSIP

作者： Jakub Stankowski Damian Karwowski Krzysztof Klimaszewski Krzysztof Wegner Olgierd Stankiewicz Tomasz Grajek University of Technology Poznań POLAND Politechnika Poznanska Poznan PL

ISBN: (纸本)9781467395564

The paper presents analysis and comparison of complexity of selected algorithms of motion estimation used in video compression. With the use of own, highly optimized software implementation the authors explored complexity of the methods applied in the framework of the new High Efficiency Video Compression (HEVC) technology. The influence of many different factors on motion estimation complexity has been deeply studied, including the implementation technique, type of the algorithm, number of processor threads used, kind of metric of blocks similarity. The results obtained allowed to formulate guidelines and conclusions that may be useful for future implementation of motion estimation algorithms in context of HEVC encoders.

关键词： Decision support systems Complexity theory Motion estimation Measurement Visual communication image processing

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ABLE: An Automated Bacterial Load Estimator for the urinoculture screening 5

ABLE: An Automated Bacterial Load Estimator for the urinocul...

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5th International conference on Pattern Recognition Applications and Methods, ICPRAM 2016

作者： Andreini, Paolo Bonechi, Simone Bianchini, Monica Garzelli, Andrea Mecocci, Alessandro Department of Information Engineering and Mathematics University of Siena Via Roma 56 Siena Italy

ISBN: (纸本)9789897581731

Urinary Tract Infections (UTIs) are very common in women, babies and the elderly. The most frequent cause is a bacterium, called Escherichia coli, which usually lives in the digestive system and in the bowel. Infections can target the urethra, bladder or kidneys. Traditional analysis methods, based on human experts' evaluation, are typically used to diagnose UTIs, an error prone and lengthy process, whereas an early treatment of common pathologies is fundamental to prevent the infection spreading to kidneys. This paper presents an image based Automated Bacterial Load Estimator (ABLE) system for the urinoculture screening, that provides quick and traceable results for UTIs. Infections are accurately detected and the bacterial load is evaluated through image processing techniques. First, digital color images of the Petri dishes are automatically captured, and cleaned from noisily elements due to laboratory procedures, then specific spatial clustering algorithms are applied to isolate the colonies from the culture ground and, finally, an accurate evaluation of the infection severity is performed. A dataset of 499 urine samples has been used during the experiments and the obtained results are fully discussed. The ABLE system speeds up the analysis, grants repeatable results, contributes to the process standardization, and guarantees a significant cost reduction. © Copyright 2016 by SCITEPRESS -Science and Technology Publications, Lda. All rights reserved.

关键词： image classification

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Detecting Occluded Faces in Unconstrained Crowd Digital Pictures

Detecting Occluded Faces in Unconstrained Crowd Digital Pict...

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International conference on Multimedia and image processing (ICMIP)

作者： S. Janahiram Abeer Alsadoon P. W. C. Prasad A. M. S. Rahma A. Elchouemi SMN Arosha Senanayake School of Computing and Mathematics Charles Sturt University Sydney Australia Computer Science Department University of Technology Baghdad Iraq Walden University USA Universiti Brunei Darussalam Gadong Brunei-Muara BN

ISBN: (纸本)9781467389419

Face detection and recognition mechanisms are widely used in many multimedia and security devices. The concept is called face detection and there are significant numbers of studies into face recognition, particularly for image processing and computer vision. However, there remain significant challenges in the existing systems due to limitations behind algorithms. Viola Jones and Cascade Classifier are considered the best algorithms from among existing systems. They can detect faces in unconstrained Crowd Scene with half and full face detection methods. However, limitations of these systems are affecting accuracy and processing time. This project presents a propose solution called VJaC (Viola Jones and Cascade). It is based on the study of current systems, features and limitations. This system considered three main factors, processing time, accuracy and training. These factors are tested on different sample images, and compared with current systems.

关键词： Face detection Classification algorithms Face recognition Algorithm design and analysis Training Feature extraction image color analysis

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