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Image fusion for classification of high resolution images based on mathematical morphology

Image fusion for classification of high resolution images ba...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Frosti Palsson Johannes R. Sveinsson Jon Atli Benediktsson Henrik Aanaes Faculty of Electrical and Computer Engineering University of Iceland Reykjavik Iceland Department of Informatics and Mathematical Modelling Technical University of Denmark Lyngby Denmark

Classification of high resolution urban remote sensing imagery is addressed. The classification is done by both considering the panchromatic imagery and the multi-spectral image obtained using the spectrally consistent fusion method introduced in [1]. The data are classified using support vector machines (SVM). To further enhance the classification accuracy, mathematical morphology is used to derive local spatial information from the panchromatic data. In particular we use the Morphological Profile (MP) in classification of satellite imagery as was proposed in [2, 3]. We also use the derivative of the MP (DMP). In the majority of the image fusion (pansharpening) techniques proposed today, there is a compromise between the spatial enhancement and the spectral consistency. By comparing classification results obtained by using our model based scheme [1] to results obtained using the IHS and Brovey fusion methods, we find that spectrally consistent data give better results when it comes to classification.

关键词： Pixel Support vector machines Image fusion Image resolution Accuracy Satellites Shape

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Detection of Image Fragments Related by Affine Transforms: Matching Triangles and Ellipses

Detection of Image Fragments Related by Affine Transforms: M...

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International Conference on Information Science and Applications (ICISA)

作者： Mariusz Paradowski Andrzej Śluzek Nanyang Technological University Institute of Informatics Poland School of Computer Engineering Faculty of Physics Astronomy and Informatics Nanyang Technological University Singapore Wroclaw University of Technology Poland Faculty of Physics Singapore Nicolaus Copernicus University Poland

Visual information retrieval systems are often constructed upon the notion of image similarity. The concept of image similarity may be defined in many ways: from a pure visual level, where we seek identical images, to a semantic level related with human perception the image. In our research we address the first approach, we explore topics of image matching (image alignment), however in terms of image fragments. The goal of image fragment matching is to find similar parts of two images, without a given model of particular objects present on images. It is also assumed that the number of similar objects (image fragments) is not known. In this paper we present a novel method for image fragment matching. It uses two ellipse pairs as an elementary object for image geometry reconstruction. The method is an extension of the previously proposed approach based on triangles. We have decided to replace triangles with a different geometrical structure to reduce computational complexity from O(n 3 ) to O(n 2 ), where n is the number of coherent key regions. We discuss and compare both matching methods both in terms of quality and processing efficiency.

关键词： Image retrieval Image matching Image reconstruction Space technology Computational complexity Layout Physics computing informatics Information retrieval Geometry

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Multimedia ICT in vocational training

Multimedia ICT in vocational training

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作者： Podhradský, Pavol Trúchly, Peter Zeman, Tomáš Hrad, Jaromír Department of Telecommunications Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia Institute of Computer Systems and Networks Faculty of Informatics and Information Technologies Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia Department of Telecommunications Faculty of Electrical Engineering Czech Technical University Technická 2 CZ-166 27 Prague 6 Czech Republic

ISBN: (纸本)9789537044114

The paper presents the main ideas of two Leonardo da Vinci (LdV) projects focused on the vocational training. The selected outputs of these projects are presented in more details. The conception of the multilingual terminological dictionary and proposed graphical user interface is also presented in the paper. An example of practical exercises in the area of NGN protocols based on remote access to NGN Lab is described and illustrated.

关键词： Graphical user interfaces

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Using bi-clustering algorithm for analyzing online users activity in a virtual campus

Using bi-clustering algorithm for analyzing online users act...

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2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

作者： Xhafa, Fatos Caballé, Santi Barolli, Leonard Molina, Alberto Miho, Rozeta Dept. of Languages and Informatics Systems Technical University of Catalonia Spain Dept. of Computer Sci. Multimedia and Telecommunication Open University of Catalonia Spain Dept. of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Faculty of Information Technologies Technical University of Tirana Albania

ISBN: (纸本)9780769542782

Data mining algorithms have been proved to be useful for the processing of large data sets in order to extract relevant information and knowledge. Such algorithms are also important for analyzing data collected from the users' activity users. One family of such data analysis is that of mining of log files of online applications that register the actions of online users during long periods of time. A relevant objective in this case is to study the behavior of online users and feedback the design processes of online applications to provide better usability and adaption to users' preferences. The context of this work is that of a virtual campus in which thousands of students and tutors carry out the learning and teaching activity using online applications. The information stored in log files of virtual campuses tend to be large, complex and heterogeneous in nature. Hence, their mining requires both efficient and intelligent processing and analysis of user interaction data during long-term learning activities. In this paper, we present a bi-clustering algorithm for processing large log data sets from the online daily activity of students in a real virtual campus. Our approach is useful to extract relevant knowledge about user activity such as navigation patterns, activities performed as well as to study time parameters related to such activities. The extracted information can be useful not only to students and tutors to stimulate and improve their experience when interacting with the system but also to the designers and developers of the virtual campus in order to better support the online teaching and learning. © 2010 IEEE.

关键词： Clustering algorithms

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A fuzzy inference system to determine the number of clones in the clonal selection algorithm

A fuzzy inference system to determine the number of clones i...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Luiz Antonio Carraro Leandro Nunes de Castro Angelita Maria de Ré Computer and Informatics Faculty & Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil Computer Science Department State University of West-Center Parana Guarapuava Brazil

Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool.

关键词： Variable speed drives Animals

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Nonlinear photonic pre-processing Bi-spectrum optical receivers for long haul optically amplified transmission systems

Nonlinear photonic pre-processing Bi-spectrum optical receiv...

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12th IEEE International Conference on Communication Systems 2010, ICCS 2010

作者： Binh, Le Nguyen Nguyen, Nhan D. Firus, Martin Mutabazi, Steve Van Liet, Dang Department of Electrical and Computer Systems Engineering Monash University P.O. Box 35 Clayton VIC 3800 Australia Ausanda Communications Pty. Ltd. 55 Collins Street Melbourne VIC 3000 Australia Department of Physics and Informatics Faculty of Physics and Engineering Physics University of Science Ho Chi Minh City Viet Nam

ISBN: (纸本)9781424470068

The high order spectrum (HOS) technique is proposed as a non linear (NL) signal processing technique for digital optical receiver system for long haul optically amplified fiber transmission systems. The optical receivers employing higher order spectral photonic pre-processor and VLSI electronic system for the electronic decoding and evaluation of the bit error rate of the transmission system. A photonic signal pre-processing system is developed to generate the triple correlation via the third harmonic conversion in a NL optical waveguide is employed as the photonic pre-processor to generate the essential part of a triple correlator. The performance of an optical receiver incorporating the HOS processor is given for long haul phase modulated fiber transmission. © 2010 IEEE.

关键词： Light transmission

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Analysis of signal propagation in 1-D CNNs with the antisymmetric template

Analysis of signal propagation in 1-D CNNs with the antisymm...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Norikazu Takahashi Tetsuo Nishi Hajime Hara Department of Informatics Kyushu University Fukuoka Japan Faculty of Science and Engineering Waseda University Tokyo Japan Department of Electronics and Computer Engineering Hiroshima Institute of Technology Hiroshima Japan

ISBN: (纸本)9781424466795;9781424466788

This paper studies some fundamental properties on signal propagation in one-dimensional cellular neural networks with the antisymmetric template under the assumption that the initial output has only one connected component. A new sufficient condition for the component to propagate without attenuation is derived through theoretical analysis. It is also proved that under the same condition the final output is a black-and-white image having only one black at the right-most pixel, which means that the network can perform connected component detection when the input image has only one connected component.

关键词： Signal analysis Cellular neural networks Pixel Charge coupled devices Sufficient conditions Application software Attenuation Cellular networks informatics computer networks

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dAUTObase: Mining gems on autoimmune diseases utilizing web visualization technologies

dAUTObase: Mining gems on autoimmune diseases utilizing web ...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Dimitris I. Antoniou Marianthi A. Georgitsi Vassiliki A. Gkantouna George P. Patrinos Konstantinos A. Poulas Athanasios K. Tsakalidis Giannis E. Tzimas Emmanouil S. Viennas Department of Computer Engineering and Informatics Faculty of Engineering University of Patras Patras Greece Department of Pharmacy School of Health Sciences University of Patras Patras Greece Department of Applied Informatics in Management & Finance Technological Educational Institute of Messolonghi Messolonghi Greece

An autoimmune disorder is a condition that occurs when the immune system mistakenly attacks and destroys healthy body parts. The epidemiology of these diseases is a matter of study and discussion, with many published results worldwide. We have critically collected more than 100 publications, analyzing autoimmune diseases' frequencies in various populations and ethnic groups. Simultaneously, we developed a web application in order to host the collected data. By utilizing Microsoft Silverlight technology, we have built a multimedia web frontend, in order to support a high level visualization of the data and the mining process. In parallel we continue the data mining process and the update of our database.

关键词： Diseases Optimization Visual databases HTML Biology Visualization

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A new watershed algorithm for protein spot detection in 2DGE images using the notion of fuzzy relations

A new watershed algorithm for protein spot detection in 2DGE...

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International Conference on computer Technology and Development (ICCTD)

作者： Shaheera Rashwan Talaat Faheem Amany Sarhan Bayumy A.B. Youssef Informatics Research Institute Mubarak City of Science and Technology Alexandria Egypt Computer Science and Automatic Control Department Faculty of Engineering Tanta University Tanta Egypt

An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the abundance of weak protein spots. To enable comparison of protein patterns between different samples, it is necessary to match the patterns so that homologous spots are identified. In this paper we describe a new robust technique to segment and model the different spots present in the gels. The watershed segmentation algorithm is modified to handle the problem of over segmentation by initially partitioning the image to mosaic regions using the composition of fuzzy relations. The experimental results showed the effectiveness of the proposed algorithm to overcome the over segmentation problem associated with the available algorithms.

关键词： Image segmentation Zinc Databases Pixel

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Shift to Cyber-I: Reexamining Personalized Pervasive Learning

Shift to Cyber-I: Reexamining Personalized Pervasive Learnin...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Neil Y. Yen Jianhua Ma Runhe Huang Qun Jin Timothy K. Shih Department of Human Informatics & Cognitive Sciences Waseda University Saitama Japan Faculty of Computer and Information Sciences Hosei University Tokyo Japan Department of Computer Science & Information Engineering National Central University Taoyuan Taiwan

Recently, there have been lots of researches on how to provide personalized services to different users according to their personal characters, needs, situations, contexts and so on. Such personalized services are often based on users' profiles provided by the users in the beginning, and users' records or experiences in using corresponding systems in certain periods. However, different systems or terminals collect user information independently and cannot share the user's personal information collected by these different systems/terminals. As a result, each system can only utilize the limited information collected by the system itself to provide services or recommendations, and it thus cannot meet what users' needs in varied situations across the different systems/terminals. Therefore, it is still an open issue on how to gather, share and utilize various kinds of personal information to effective personalized services in right time, right place and right means to users. In this paper, a case study for personalized pervasive learning is discussed as one typical application of the concept of Cyber-I, an individual's counterpart on the cyberspace. The Cyber-I aims to provide a better environment for users to obtain what they may really need on the Web, and it can be considered as an innovated possibility of web usage scenario in the near future. Our case study using pervasive devices (iPad, cell phone, and laptop) for learning issues can be regarded as the best practice to support the proposed Cyber-I.

关键词： Humans Uninterruptible power systems Context Internet Cellular phones Mirrors Portable computers

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