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检索条件"任意字段=Image Processing: Algorithms and Systems XIV 2016"

共 1046 条记录，以下是561-570 订阅

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Demo: MPPA® manycore processor towards future ADAS system solutions

Demo: MPPA® manycore processor towards future ADAS system s...

引用

Conference on Design and Architectures for Signal and image processing

作者： Pierre-Edouard Beaucamps Frédéric Blanc Kalray KALRAY Grenoble FRANCE

This document describes a demonstration, proposed at DASIP Demo Night session. This demonstration is running on a low-power manycore processor from Kalray, named MPPA ® and is highlighting capabilities of this n... 详细信息

关键词： image processing Signal processing Signal processing algorithms Filtering algorithms Advanced driver assistance systems Clustering algorithms Real-time systems

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Semantic-based brain MRI image segmentation using convolutional neural network 12th

Semantic-based brain MRI image segmentation using convolutio...

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12th International Symposium on Visual Computing, ISVC 2016

作者： Chou, Yao Lee, Dah Jye Zhang, Dong Electrical and Computer Engineering Brigham Young University ProvoUT United States School of Electronics and Information Technology Sun Yat-sen University GuangzhouGuangdong China

ISBN: (纸本)9783319508344

Segmenting Magnetic Resonance images plays a critical role in radiotherapy, surgical planning and image-guided interventions. Traditional differential filter-based segmentation algorithms are predefined independently of image features and require extensive post processing. Convolutional Neural Networks (CNNs) are regarded as a powerful visual model that yields hierarchies of features learned from image data, however, its usage is limited in medical imaging field as it requires large-scale data for training. In this paper, we propose a simple binary detection algorithm to bridge CNNs and medical imaging for accurate medical image segmentation. It applies high-capacity CNNs to extract features from image data. When labeled training medical images are scarce, the proposed algorithm splits data into small regions, and labels them to boost training data size automatically. Rather than replaces classic segmentation methods, this paper presents an alternative that is unique and provides more desirable segmentation results. © Springer International Publishing AG 2016.

关键词： Magnetic resonance imaging

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Real Time Facial Expression Recognition App Development on Mobile Phones 12

Real Time Facial Expression Recognition App Development on M...

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12th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery (ICNC-FSKD)

作者： Alshamsi, Humaid Meng, Hongying Li, Maozhen Brunel Univ London Dept Elect & Comp Engn Uxbridge UB8 3PH Middx England Tongji Univ Key Lab Embedded Syst & Serv Shanghai 200092 Peoples R China

ISBN: (纸本)9781509040933

Facial expression has made significant progress in recent years with many commercial systems are available for real-world applications. It gains strong interest to implement a facial expression system on a portable device such as tablet and smart phone device using the camera already integrated in the devices. It is very common to see face recognition phone unlocking app in new smart phones which are proven to be hassle free way to unlock a phone. Implementation a facial expression system in a smart phone would provide fun applications that can be used to measure the mood of the user in their daily life or as a tool for their daily monitoring of the motion in phycology studies. However, traditional facial expression algorithms are normally computing extensive and can only be implemented offline at a computer. In this paper, a novel automatic system has been proposed to recognize emotions from face images on a smart phone in real-time. In our system, the camera of the smart phone is used to capture the face image, BRIEF features are extracted and k-nearest neighbor algorithm is implemented for the classification. The experimental results demonstrate that the proposed facial expression recognition on mobile phone is successful and it gives up to 89.5% recognition accuracy.

关键词： machine learning facial expression image processing mobile computing

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Properties of the Ellipse-Line-Ellipse Trajectory with Asymmetrical Variations

Properties of the Ellipse-Line-Ellipse Trajectory with Asymm...

引用

Conference on Medical Imaging - Physics of Medical Imaging

作者： Guo, Zijia Noo, Frederic Maier, Andreas Lauritsch, Guenter Univ Utah Dept Radiol & Imaging Sci Utah Ctr Adv Imaging Res Salt Lake City UT 84112 USA Univ Erlangen Nurnberg Pattern Recognit Lab D-91054 Erlangen Germany Siemens Healthcare GmbH Erlangen Germany

ISBN: (纸本)9781510600188

Three-dimensional cone-beam (CB) imaging using a multi-axis floor-mounted (or ceiling-mounted) C-arm system has become an important tool in interventional radiology. This success motivates new developments to improve image quality. One direction in which advancement is sought is the data acquisition geometry and related CB artifacts. Currently, data acquisition is performed using the circular short-scan trajectory, which yields limited axial coverage and also provides incomplete data for accurate reconstruction. To improve the image quality, as well as to increase the coverage in the longitudinal direction of the patient, we recently introduced the ellipse line -ellipse trajectory and showed that this trajectory provides full R-line coverage within the field-of-view, which is a key property for accurate reconstruction from truncated data. An R-line is any segment of line that connects two source positions. Here, we examine how the application of asymmetrical variations to the definition of the ELE trajectory impacts the R-line coverage. This question is significant to understand how much flexibility can be used in the implementation of the ELE trajectory, particularly to adapt the scan to patient anatomy and imaging task of interest. Two types of asymmetrical variations, called axial and angular variations, are investigated.

关键词： Data acquisition Imaging systems image quality image-guided intervention 3D image processing image segmentation Medicine 3D acquisition image restoration Reconstruction algorithms Computed tomography Cones

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2016 3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2016

2016 3rd International Conference on Artificial Intelligence...

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3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2016

ISBN: (纸本)9781467391870

The proceedings contain 30 papers. The topics discussed include: defect automatic detection for tire x-ray images using inverse transformation of principal component residual;co-channel interference mitigation on capacity and coverage in cellular systems;dyadic lifting wavelet based signal detection;multi-view matching points extraction algorithm based on union find sets;revocation basis and proofs access control for cloud storage multi-authority systems;a detection method for network security based on the combination of support vector machine;issues on critical objects in mining algorithms;motion background modeling based on context-encoder;application of intelligence of swarm in architecture;features selection for building an early diagnosis machine learning model for Parkinson's disease;latent fingerprint wavelet transform image enhancement technique for optical coherence tomography;synchronizing switching times of vacuum interrupters for medium voltage switchboards' techniques;performance analysis of the method for social search of information in university information systems;and modeling and data processing of information systems.

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NASA Technical Reports Server (Ntrs) 20150015503: Damage Detection and Verification System (Ddvs) for in-Situ Health Monitoring

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2016年

NASA Technical Reports Server (Ntrs) 20150015503: Damage Detection and Verification System (Ddvs) for in-Situ Health Monitoring by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by

关键词： (ddvs) (ntrs) 20150015503: algorithms autonomy cameras computer vision damage detection gibson, t. ground tests health image processing imaging techniques in-situ international space station lane, j. lewis, mark ludwig, l. micrometeoroids nasa technical reports server (ntrs) robotics shelton, c. space debris systems health monitoring systems integration szafran, j. trautwein, t. williams, martha k.

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image enhancement by volume limitation in binary tomography 12th

Image enhancement by volume limitation in binary tomography

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12th International Symposium on Visual Computing, ISVC 2016

作者： Varga, László Ozsvár, Zoltán Balázs, Péter Department of Image Processing and Computer Graphics University of Szeged Árpád tér 2 Szeged6720 Hungary

ISBN: (纸本)9783319508344

We introduce two methods to limit the reconstruction volume in binary tomography. The first one can be used when the CT scanner is equipped with a laser distance measurement device which gives information of the outer boundary of the object to reconstruct. The second one uses dilated versions of a blueprint of the object under investigation. Such a blueprint is often available in non-destructive testing of industrial objects. By experiments we show that the proposed methods can enhance the quality of the reconstructed images. © Springer International Publishing AG 2016.

关键词： Nondestructive examination

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

Laparoscopic Video and Ultrasounds Image Processing in Minim...

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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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Prototype-Based Classification for image Analysis and Its Application to Crop Disease Diagnosis 11th

Prototype-Based Classification for Image Analysis and Its Ap...

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11th International Workshop on Self-Organizing Maps (WSOM)

作者： Mwebaze, Ernest Biehl, Michael Makerere Univ Sch Comp & Informat Technol POB 7062 Kampala Uganda Univ Groningen Johann Bernoulli Inst Math & Comp Sci POB 407 NL-9700 AK Groningen Netherlands

ISBN: (纸本)9783319285184;9783319285177

In this paper, we provide an application of Learning Vector Quantization (LVQ)-based techniques for solving a real-world problem. We apply LVQ for automated diagnosis of crop disease in cassava plants using features extracted from images of plants' leaves. The problem reduces to a five class problem in which we attempt to distinguish between a leaf from a health plant and leaves representing four different viral and bacterial diseases in cassava. We discuss the problem under additional constraints that the solution must easily be deployable on a mobile device with limited processing power. In this study we explore the right configuration of type of algorithm and type of features extracted from the leaves that optimally solves the problem. We apply different variations of LVQ and compare them with standard classification techniques (Naive Bayes, SVM and KNN). Results point to a preference of color feature representations and LVQ-based algorithms.

关键词： Prototype-based classification LVQ GLVQ GMLVQ DLVQ Multi-class classification Feature extraction image analysis

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Software system design for the non-null digital Moire interferometer 4

Software system design for the non-null digital Moire interf...

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Conference on Optical Metrology and Inspection for Industrial Applications IV held as part of SPIE/COS Photonics Asia Conference

作者： Chen, Meng Hao, Qun Hu, Yao Wang, Shaopu Li, Tengfei Li, Lin Beijing Inst Technol Beijing Key Lab Precis Optoelect Measurement Inst Sch Optoelect Beijing 100081 Peoples R China

ISBN: (数字)9781510604667

ISBN: (纸本)9781510604650;9781510604667

Aspheric optical components are an indispensable part of modern optics systems. With the development of aspheric optical elements fabrication technique, high-precision figure error test method of aspheric surfaces is a quite urgent issue now. We proposed a digital Moire interferometer technique (DMIT) based on partial compensation principle for aspheric and freeform surface measurement. Different from traditional interferometer, DMIT consists of a real and a virtual interferometer. The virtual interferometer is simulated with Zemax software to perform phase-shifting and alignment. We can get the results by a series of calculation with the real interferogram and virtual interferograms generated by computer. DMIT requires a specific, reliable software system to ensure its normal work. image acquisition and data processing are two important parts in this system. And it is also a challenge to realize the connection between the real and virtual interferometer. In this paper, we present a software system design for DMIT with friendly user interface and robust data processing features, enabling us to acquire the figure error of the measured asphere. We choose Visual C++ as the software development platform and control the ideal interferometer by using hybrid programming with Zemax. After image acquisition and data transmission, the system calls image processing algorithms written with Matlab to calculate the figure error of the measured asphere. We test the software system experimentally. In the experiment, we realize the measurement of an aspheric surface and prove the feasibility of the software system.

关键词： asphere test DMIT virtual interferometer software system design data processing hybrid programming

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