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A novel prototype-based segmentation requiring only five training cases applied to MR angiography

Journal of Cardiovascular Magnetic Resonance 2009年第SUPPL 1期11卷 1-316页

作者： Jane Sjögren Martin Ugander Håkan Arheden Einar Heiberg Dept. of Clinical Physiology Cardiac MR Group Lund Sweden Lund University Hospital Lund Sweden

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Road extraction based on the algorithms of K-means clustering and hybrid model of SVM and FCM

Road extraction based on the algorithms of K-means clusterin...

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1st International Conference on Energy and Environmental Protection (ICEEP 2012)

作者： Zhu, Daming Wen, Xiang Xia, Rong Kunming Univ Sci & Technol Fac Land Resource Engn Kunming 650093 Peoples R China

ISBN: (纸本)9783037854167

Information extraction is the prerequisite of remote sensing image segmentation, which is the key procedure of image analysis. In this paper hard C-means and fuzzy C-means is adopted for segmentation in remote sensing image to realize our road extraction. Firstly, we proposed k-means for image segmentation using non-supervised clustering, and we can achieve our aim finally. Meanwhile, SVM combined with Fuzzy C means was proposed and this model was implemented in remote sensing image segmentation to extract the road net. Finally the comparison with two proposed algorithm was carried out, and after experiment, SVM plus FCM model is much more accurate than k-means.

关键词： segmentation algorithm K-means Clustering Fuzzy C-means Clustering Support Vector Machine Road Extraction.

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Robust Iris Recognition Framework Using Computer Vision algorithms 4

Robust Iris Recognition Framework Using Computer Vision Algo...

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4th International Conference on Smart Grid and Smart Cities (ICSGSC)

作者： Hussein, Nashwan Jasim Al Furat Al Awsat Tech Univ Tech Coll Management Najaf Iraq

ISBN: (纸本)9781728194042

Nowadays under human observations iris recognition is playing an essential role, it observed that there are some points are very essential for this method like accuracy, efficiency & processing time. There are several problems has been recorded for this kind of technique. Under previous researches, many concepts have been reported for iris-based segmentation, classification & feature extraction techniques. This research dealt with implementing a novel framework of robust iris segmentation utilizing computer vision technique, FFNN classifier & hybrid feature extraction technique. For the non-iris images method of the novel iris, segmentation has been proposed in this paper. The technique of novel iris segmentation based on 2 methods regards pupil segmentation, after that fusion of enhancing & shrinking visible contour has been framed for segmentation of iris through collaborating novel burden forcing for visible contour model. Moreover, then UN wrapped iris segmentation performed well with the technique of normalization non-circular iris. Whatever, for better iris segmentation research, utilized a proposed method of feature extraction under Discrete Wavelet Transform, letter utilized geometric & texture features of the segmented image. Achieved features have collaborated through a vector of a hybrid feature. For the reason of recognition, we are utilizing a vision algorithm with an FFNN classifier. This paper focused on the concepts related to a robust iris recognition framework using a vision algorithm. Daugman demodulates the yield of the Gabor channels to pack the information. It separates the stage data into four levels and for every conceivable quadrant in-plane to get a minimal 256-byte layout, which takes into consideration proficient capacity and correlation of irises. Experimental outputs have been described as the proposed robust iris segmentation method adopted greater accuracy on the challenging segmentation algorithm thousand databases.

关键词： Iris recognition segmentation algorithm Vision algorithm robust segmentation vision computer method

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The Design and Implementation of an Intelligent Distributed Text Retrieval System

The Design and Implementation of an Intelligent Distributed ...

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2nd International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE)

作者： Yu, Wang Wang, Guohua GuangDong Polytech Normal Univ Sch Educ Technol & Commun Guangzhou Guangdong Peoples R China South China Univ Technol Sch Software Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781467314602

Traditional text retrieval techniques greatly consume system resources. Although some file-sharing software realizes file positioning and high-speed downloads, they have no enough capacity to analysis variety format Chinese documents and to extract keywords. At the same time, during the operation of system, it exist hot issues in network routing. This paper proposes an intelligent distributed text retrieval system, which adopts two routing strategies based on the index sub-node and peer nodes and can effectively solve these problems, in the same also can improve the efficiency of finding specific information from the massive data.

关键词： text retrieval distributed networks segmentation algorithm two level routing

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Non-intrusive power load decomposition based on transient steady-state characteristics 8

Non-intrusive power load decomposition based on transient st...

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8th International Forum on Electrical Engineering and Automation (IFEEA)

作者： Li, Sai Guo, Xiaoxue Shao, Wenquan Wang, Junze Xian Polytech Univ Xian Peoples R China

ISBN: (纸本)9781665400886

For the traditional integer planning algorithms are limited to a single electrical feature quantity, resulting in poor identification of loads with similar electrical characteristics. Transient power and steady-state power are selected as load characteristics in this paper. On this basis, an improved integer programming algorithm based on low-frequency sampling is proposed. The method models the correlation between total power and various types of load power, and decomposes the total power sequence into several sub-power sequences by using the optimized segmentation algorithm. Meanwhile, the segmentation results are applied to the integer programming algorithm to improve its decomposition effect. Finally, the state switching time of each electricity load is identified on experimental data.

关键词： load decomposition non-intrusive integer programming segmentation algorithm

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A Hybrid Approach to Ontology Modularization

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SN Computer Science 2023年第5期4卷 634页

作者： Batchakui, Bernabé Nkambou, Roger Tawamba, Emile National Advanced School of Engineering University of Yaoundé 1 Yaoundé Cameroon Department of Computer Science University of Quebec at Montreal Montreal Canada University Institute of Technology University of Douala Douala Cameroon

The design of ontologies is a non-trivial task that can simply be reduced to the reuse of one or more existing ontologies. However, since an expert in knowledge engineering would only need a part of the ontology to perform a specific task, obtaining this partition will sometimes require the modularization of existing ontologies. There exist two categories of ontology modularization techniques: partitioning and extraction. This paper describes a new hybrid modularization approach, which combines both categories in an integrated segmentation algorithm, taking advantage of the best of both worlds and capable of building ontology modules that are syntactically and semantically sufficient to achieve a given goal. The segmentation algorithm is based on the hierarchical deep and the semantic threshold, two essential parameters allowing to regulate the taxonomy path of the source ontology, and to control the proportions of the module to be built. Potentially relevant concepts are observed through semantic relationships. The approach has been implemented through a tool named COMET. A validation protocol has been defined to evaluate the quality of the different extracted modules using a number of metrics. The validation is based on a comparative study of the modules generated by COMET, compared to a given reference ontology. Many tests have been conducted one of the findings is that, the density of an ontology which represents the level of its completeness, is an essential property. From the series of tests conducted during our study, we concluded that the denser an ontology is, the denser the module returned by COMET is. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Knowledge engineering Ontology evaluation metrics Ontology segmentation segmentation algorithm Semantic modularization Structural modularization

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Reconstruction of porous electrodes by FIB/SEM for detailed microstructure modeling

Reconstruction of porous electrodes by FIB/SEM for detailed ...

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9th European SOFC Forum

作者： Joos, Jochen Carraro, Thomas Weber, Andre Ivers-Tiffee, Ellen Karlsruher Inst Technol Inst Werkstoffe Elektrotech D-76131 Karlsruhe Germany Karlsruher Inst Technol Ctr Funct Nanostruct D-76131 Karlsruhe Germany Univ Heidelberg Inst Angew Math D-62120 Heidelberg Germany

Polarization losses within electrodes of solid oxide fuel cells (SOFCs) are determined both by material composition and microstructure. Improvement in performance can be supported by a detailed characterization and modeling of the electrode microstructure. Focused ion beam (FIB) and scanning electron microscopy (SEM) combined with image processing have already proven potential for the reconstruction of porous electrodes. In this contribution the serialized reconstruction procedure of a high-performance, mixed ionic-electronic conducting La0.58Sr0.4Co0.2Fe0.8O3-delta (LSCF)-cathode will be illustrated in detail. Based on corrected reconstruction data sets and by the evaluation of qualified algorithms discriminating between porosity and electrode material, a sensitivity analysis of the grayscale threshold value on the essential parameters (i) surface area, (ii) volume/porosity fraction and (iii) tortuosity is performed. (C) 2010 Elsevier B.V. All rights reserved.

关键词： SOFC LSCF Focused ion beam (FIB) Microstructure modeling segmentation algorithm

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Hybrid clusteing algorithm and Neural Network classifier for satellite image classification

Hybrid clusteing algorithm and Neural Network classifier for...

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International Conference on Industrial Instrumentation and Control

作者： Praveena, S. Singh, S. P. MGIT ECE Hyderabad Andhra Pradesh India

ISBN: (纸本)9781479971657

This paper presents a hybrid clustering algorithm and feed-forward neural network classifier for land-cover mapping of trees, shade, building and road. It starts with the single step preprocessing procedure to make the image suitable for segmentation. The preprocessed image is segmented using the hybrid genetic-Artificial Bee Colony (ABC) algorithm that is developed by hybridizing the ABC and FCM to obtain the effective segmentation in satellite image and classified using neural network. The performance of the proposed hybrid algorithm is compared with the algorithms like, Artificial Bee Colony(ABC) algorithm, ABC-GA algorithm, Moving KFCM.

关键词： ABC-FCM segmentation algorithm Neural Networ Feature Extraction Satellite Image Classification

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Eulerian Formulation of a Drillstring Constrained inside a Curved Borehole

Eulerian Formulation of a Drillstring Constrained inside a C...

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IEEE International Conference on Control Applications (CCA)

作者： Denoel, Vincent Detournay, Emmanuel Univ Liege Fac Appl Sci Struct Div Engn B-4000 Liege Belgium Univ Minnesota Dept Civil Engn Minneapolis MN USA CSIRO Earth Sci & Resource Engn Missoula MT USA

ISBN: (纸本)9781457710636

We address the problem of computing the deformed configuration of a drillstring, constrained to deform inside a curved borehole. This problem is encountered in applications such as torque-and-drag and directional drilling. In contrast to the traditional Lagrangian approach, the deformed drillstring is described by means of the distance from the borehole axis, in terms of the curvilinear coordinate defined along the borehole. This model is further implemented within a segmentation algorithm -where the borehole and the drillstring are divided into segments limited by contacts, which interestingly transforms the problem into a sequence of analogous auxiliary problems. This Eulerian view of the drillstring flow into the borehole resolves in one stroke a series of issues that afflict the classical Lagrangian approach: (i) the contact detection is reduced to checking whether a threshold on the distance function is violated, (ii) isoperimetric conditions are transformed into regular boundary conditions, instead of being treated as external integral constraints, (iii) the method yields a well-conditioned set of equations that does not degenerate with decreasing flexural rigidity of the drillstring and/or decreasing clearance between the drillstring and the borehole. Theoretical developments related to this Eulerian formulation of the drillstring are presented, along with an example illustrating the advantages of this approach.

关键词： Boundary conditions Computational modeling Differential equations Equations Eulerian formulation Force Lagrangian approach Mathematical model Silicon analogous auxiliary problems bending borehole axis curved borehole curvilinear coordinate differential equations directional drilling drilling (geotechnical) drillstring flow pipelines plastic deformation segmentation algorithm shear modulus structural engineering torque-and-drag

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Risk Analysis for Intraoperative Liver Surgery

Risk Analysis for Intraoperative Liver Surgery

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Schwaiger, Johannes Markert, Mathias Seidl, Bernhard Shevchenko, Nikita Doerfler, Nikolas Lueth, Tim C. Tech Univ Muenchen Dept Micro Technol & Med Device Technol D-85748 Garching Germany

ISBN: (纸本)9781424441242

Hepatic vessel structure is very important to ensure the blood supply of the liver tissue. Therefore the knowledge of the hepatic vessel system is indispensable in liver surgery planning, for example before performing a liver resection. The purpose of this paper is to present an easy to use and fast method concerning hepatic vessel segmentation and risk analysis, which is intended to be applicable in clinical routine. Using CT scans vessels cannot be easily distinguished from other liver tissues. The segmentation algorithm used in this approach is mainly based on the arboreal structure of the hepatic vessel system. It is fully automatic and a prerequisite for the performance of a risk analysis concerning the minimal distances between tumors and vessels. A set of 20 oncological patient datasets was used to evaluate the segmentation algorithm and the risk analysis relating to their speed performance and ease of use, respectively. segmentation algorithm was always performed in less than 1 minute and risk analysis even in less than 10 seconds. Each step was performed fully automatical. The obtained results show, that both segmentation algorithm and risk analysis are easy to use because no user interaction is required. In combination with the speed performance it is possible for the surgeon to accomplish a preoperative and intraoperative liver surgery planning on his own, respectively.

关键词： CT blood supply blood vessels computerised tomography hepatic vessel structure image segmentation intraoperative liver surgery liver liver tissue medical image processing risk analysis risk analysis segmentation algorithm tumors

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