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Standardized evaluation methodology and reference database for evaluating IVUS image segmentation

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 2014年第2期38卷 70-90页

作者： Balocco, Simone Gatta, Carlo Ciompi, Francesco Wahle, Andreas Radeva, Petia Carlier, Stephane Unal, Gozde Sanidas, Elias Mauri, Josepa Carillo, Xavier Kovarnik, Tomas Wang, Ching-Wei Chen, Hsiang-Chou Exarchos, Themis P. Fotiadis, Dimitrios I. Destrempes, Francois Cloutier, Guy Pujol, Oriol Alberti, Marina Mendizabal-Ruiz, E. Gerardo Rivera, Mariano Aksoy, Timur Downe, Richard W. Kakadiaris, Ioannis A. Comp Vis Ctr Bellaterra Spain Univ Barcelona Dept Matemat Aplicada & Anal Barcelona Spain Univ Iowa Dept Elect & Comp Engn Iowa City IA 52242 USA UZ Brussel Dept Cardiol Brussels Belgium Sabanci Univ Fac Engn & Nat Sci Istanbul Turkey Cardiovasc Res Fdn New York NY USA Hosp Badalona Germans Trias & Pujol Badalona Spain Charles Univ Prague Dept Internal Med 2 Prague Czech Republic Natl Taiwan Univ Sci & Technol Taipei Taiwan Univ Ioannina Fdn Res & Technol Hellas Inst Mol Biol & Biotechnol Dept Biomed Res GR-45110 Ioannina Greece Univ Montreal Hosp Res Ctr CRCHUM Lab Biorheol & Med Ultrason Montreal PQ Canada Univ Montreal Inst Biomed Engn Dept Radiol Radiooncol & Nucl Med Montreal PQ Canada Univ Houston Dept Comp Sci Computat Biomed Lab Houston TX 77204 USA Ctr Invest Matemat Guanajuato Mexico

This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders;semi- or fully-automatic operation;and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： IVUS (intravascular ultrasound) Evaluation framework algorithm comparison Image segmentation

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User Behavior Analysis in Web Log through Comparative Study of Eclat and Apriori

User Behavior Analysis in Web Log through Comparative Study ...

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7th International Conference on Intelligent Systems and Control (ISCO)

作者： Kotiyal, Bina Kumar, Ankit Pant, Bhaskar Goudar, R. H. Chauhan, Shivali Junee, Sonam Graph Era Univ Dept CSE Dehra Dun Uttar Pradesh India

ISBN: (纸本)9781467346016;9781467343596

As we know World Wide Web plays vital role in serving the needs of the user's on web. The web log files are generated as a result of an interaction between the client and the service provider on web. Web log file contains the massive hidden valuable information pertaining to the visitors, if mined can be used for predicting the navigation behavior of the users. However the task of discovering frequent sequence patterns from the web log is challenging. Sequential pattern mining provides a significant role in serving a promising approach of the access behavior of the user. This paper focuses on adopting an intelligent technique that can provide personalized web service for accessing related web pages more efficiently and effectively, so that it can be determined which web pages are more likely to be accessed by the user in future. This paper uses two intelligent algorithms for predicting the user behavior's namely Apriori and Eclat and also does the performance comparison of the two algorithms in terms of time and space complexity for the filtered data.

关键词： Proposed Architecture Filtered Data algorithm comparison Web Usage Mining Sequential Pattern Mining Apriori Eclat Recommended System

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Edge Detection by Using Edge Density and Eleven algorithm comparisons in Three Types of Color Images

Edge Detection by Using Edge Density and Eleven Algorithm Co...

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Conference on Color Imaging XVII - Displaying, Processing, Hardcopy, and Applications

作者： Wang, W. X. Xu, J. Y. Henan Polytech Univ Sch Comp Sci & Technol Kaifeng 454000 Henan Peoples R China Huawei Technol Co. Ltd Chengdu Peoples R China

ISBN: (纸本)9780819489395

Edge detection in grey scale image processing is a traditional research subject, but recently more and more researchers make efforts on the edge detection in color images. This paper presents a novel edge detection algorithm using the local, nonparametric estimation of the color image density. The method firstly analyses the edge shape information provided by the local probability distribution of the color image both in the horizontal and vertical directions respectively, then it obtains the modulus for the edge detection in the color image. With the increasing of window size, the other types of distributions can be simplified to the three types of the distributions presented in this study. In experiements, eleven different edge detection algorithms are compared for the three types of color images: smooth surface objects with a few edges;thin (or lines and curves) objects with many edges;and rough surface objects with more edges. And the algorithms include fractional, the first and the second order differential operators and other non-differential ones. Experiments show that the studied method is efficient. for edge extracting in a color image, and can give a satisfactory edge detection result in most cases.

关键词： Color image edge density edge detection algorithm comparison probability distribution

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Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model

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THEORETICAL COMPUTER SCIENCE 2012年第C期419卷 50-72页

作者： Finck, Steffen Beyer, Hans-Georg FH Vorarlberg Univ Appl Sci A-6850 Dornbirn Austria

To theoretically compare the behavior of different algorithms, compatible performance measures are necessary. Thus in the first part, an analysis approach, developed for evolution strategies, was applied to simultaneous perturbation stochastic approximation on the noisy sphere model. A considerable advantage of this approach is that convergence results for non-noisy and noisy optimization can be obtained simultaneously. Next to the convergence rates, optimal step sizes and convergence criteria for 3 different noise models were derived. These results were validated by simulation experiments. Afterward, the results were used for a comparison with evolution strategies on the sphere model in combination with the 3 noise models. It was shown that both strategies perform similarly, with a slight advantage for SPSA if optimal settings are used and the noise strength is not too large. (C) 2011 Elsevier B.V. All rights reserved.

关键词： algorithm comparison Stochastic gradient approximation Evolution strategy Noisy optimization

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An Empirical Study on Meta-Heuristic Search-Based Web Service Composition

An Empirical Study on Meta-Heuristic Search-Based Web Servic...

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9th IEEE International Conference on e-Business Engineering (ICEBE)/8th SOAIC/6th EM2I/6th SOKMBI/4th ASOC

作者： Mao, Chengying Chen, Jifu Yu, Xinxin Jiangxi Univ Finance & Econ Sch Software & Commun Engn Nanchang 330013 Peoples R China

ISBN: (纸本)9781467326018;9780769548098

In recent years, quite a few search algorithms have been used to solve Web service composition problem. However, it is still lack of systematic analysis about these methods. In the paper, we attempt to analyze the effect of three typical meta-heuristic search algorithms. The experimental analysis is performed according to the search-based Web service composition framework. In the experiments, we mainly carry out the analysis as follows: different abstract service number, different candidate service number and different QoS constraint strength. Based on the above analysis, some guidelines of realizing Web service composition via search algorithms are yielded. For example, EDA is suitable for the composition problem with large abstract service number. PSO is more effective for the case of large candidate service number. GA is a good choose for the little-scale Web service composition problem. In addition, EDA can effectively settle the composition problem with strong QoS constraint. GA is suitable for the problem with medium constraint strength, and PSO has the poor ability to tackle the QoS constraint with high strength.

关键词： Web service composition QoS constraints meta-heuristic search algorithm comparison

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comparison among three kinds of hybrid particle swarm optimization algorithms

Comparison among three kinds of hybrid particle swarm optimi...

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23rd Chinese Control and Decision Conference

作者： Zhang, Handong Fang, Ling Cen, Yuwan Anhui Univ Technol Sch Elect Engn & Informat Maanshan Anhui Peoples R China

ISBN: (纸本)9781424487363

Hybrid particle swarm optimization(PSO) is such a kind of algorithms, which combine other algorithms or technologies to enhance the basic PSO. This paper compares three representative hybrid PSOs: breeding PSO, immune PSO, and chaos PSO. These comparisons are carried out in following aspects: the goals for hybrid, basic hybrid modes, the key implementation steps, optimization performances and so on. Through these comparisons and analysis, three hybrid algorithms' construction, implementation and respective application scope are summarized,especially, the optimization performances of three hybrid PSOs have been researched carefully. The goal is to find features of the three HPSOs and provide some guidence to develop new kinds of HPSO.

关键词： hybrid PSO algorithm comparison optimization performance immune PSO chaos PSO

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comparison among three kinds of hybrid particle swarm optimization algorithms

Comparison among three kinds of hybrid particle swarm optimi...

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2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Handong Zhang Ling Fang Yuwan Cen School of Electrical Engineering & Information Anhui University of Technology Maanshan Anhui China

Hybrid particle swarm optimization(PSO) is such a kind of algorithms, which combine other algorithms or technologies to enhance the basic PSO. This paper compares three representative hybrid PSOs: breeding PSO, immune PSO, and chaos PSO. These comparisons are carried out in following aspects: the goals for hybrid, basic hybrid modes, the key implementation steps, optimization performances and so on. Through these comparisons and analysis, three hybrid algorithms’ construction, implementation and respective application scope are summarized,especially, the optimization performances of three hybrid PSOs have been researched carefully. The goal is to find features of the three HPSOs and provide some guidence to develop new kinds of HPSO.

关键词： hybrid PSO algorithm comparison optimization performance immune PSO chaos PSO

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Measuring the Effectiveness of Bad Pixel Detection algorithms using the ROC Curve

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2010年第4期56卷 2511-2519页

作者： Premachandran, Vittal Kakarala, Ramakrishna Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

Digital camera sensors usually contain defective pixels that either arise during the manufacturing process, or develop over time. These defects though small in number, are very noticeable to an experienced eye when looking at images captured from the camera. As a result it becomes extremely important for the sensor manufacturing companies to develop methods which would reduce these manufacturing errors. There have been a number of algorithms proposed for online detection of sensor defects in the literature, but there is no standard method of fairly comparing algorithms given that each algorithm uses thresholds in a different way. This paper presents a novel idea which makes use of the Receiver Operating Characteristics (ROC) curve for comparison among the various bad pixel correction algorithms. We demonstrate how the characteristics of the ROC curve can be used for determining the effectiveness of the algorithms and hence help us to decide which of the algorithms perform better than the others. Experimental results comparing two such bad pixel detection algorithms are provided(1).

关键词： Defective Pixels Camera Sensor Noise ROC Curve algorithm comparison

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Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity

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MEDICAL ENGINEERING & PHYSICS 2010年第10期32卷 1137-1144页

作者： Escudero, Javier Hornero, Roberto Abasolo, Daniel Univ Plymouth Sch Comp & Math Res Grp Signal Proc & Multimedia Commun Plymouth PL4 8AA Devon England Univ Valladolid ETSI Telecomunicac Biomed Engn Grp E-47011 Valladolid Spain Univ Surrey Fac Engn & Phys Sci Guildford GU2 7XH Surrey England

Blind source separation (BSS) is widely used to analyse brain recordings like the magnetoencephalogram (MEG). However, few studies have compared different BSS decompositions of real brain data. Those comparisons were usually limited to specific applications. Therefore, we aimed at studying the consistency (i.e., similarity) of the decompositions estimated for real MEGs from 26 subjects using five widely used BSS algorithms (AMUSE, SOBI, JADE, extended-Infomax and FastICA) for five epoch lengths (10s, 20s, 40s, 60s and 90s). A statistical criterion based on Factor Analysis was applied to calculate the number of components into which each epoch would be decomposed. Then, the BSS techniques were applied. The results indicate that the pair of algorithms 'AMUSE-SOBI', followed by 'JADE-FastICA', provided the most similar separations. On the other hand, the most dissimilar outcomes were computed with 'AMUSE-JADE' and 'SOBI-JADE'. The BSS decompositions were more similar for longer epochs. Furthermore, additional analyses of synthetic signals supported the results of the real MEGs. Thus, when selecting BSS algorithms to explore brain signals, the techniques offering the most different decompositions, such as AMUSE and JADE, may be preferred to obtain complementary, or at least different, perspectives of the underlying components. (C) 2010 IPEM. Published by Elsevier Ltd. All rights reserved.

关键词： algorithm comparison Blind Source Separation (BSS) Consistency Independent Component Analysis (ICA) Magnetoencephalogram (MEG)

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Accelerating diffractive optics design with GPU-based parallel technique

Accelerating diffractive optics design with GPU-based parall...

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Conference on Current Developments in Lens Design and Optical Engineering XI - and Advances in Thin Film Coatings VI

作者： Liu, Kan Li, Hui Zhang, Xinyu Li, Dehua Wei, Mingyue Li, Bin Xie, ChangSheng Zhang, Tianxu Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Hubei Peoples R China Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China

ISBN: (纸本)9780819482822

In this paper GPU based data parallel technique is used to reduce calculating time in diffractive optics elements (DOE) design. By using compute unified device architecture (CUDA) framework, comparison of acceleration radio of some major methods using in DOE design, including Gerchberg Saxton algorithm for global optimization in conjunction with Rayleigh-Sommerfeld diffractive integrating transformation, genetic algorithm with a finite-difference time-domain method and simulated annealing algorithm, is made with demonstrational DOE-lens design, whose focal spot size is 0.5 mu m, incident light wavelength is 650 nm, focal length is 3mm, DOE aperture size is 2mm.

关键词： DOE design GPU acceleration CUDA algorithm comparison

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