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共 216 条记录，以下是131-140 订阅

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image corner detection using radon transform

Image corner detection using radon transform

引用

International Conference on Computational Science and its Applications, ICCSA 2004

作者： Park, Seung Jin Ahmad, Muhammad Bilal Seung-Hak, Rhee Han, Seung Jo Park, Jong An Dept. of Biomedical Engineering Chonnam National University Hospital Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)3540220607

This paper describes a new corner detection algorithm based on the Radon Transform. The basic idea is to find the straight lines in the images and then search for their intersections, which are the corner points of the objects in the images. The Radon Transform is used for detecting the straight lines and the inverse Radon Transform is used for locating the intersection points among the straight lines, and hence determine the corner points. The algorithm was tested on various test images, and the results are compared with well-known algorithms. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Radon

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Tracking of moving objects using morphological segmentation, statistical moments, and radon transform

Tracking of moving objects using morphological segmentation,...

引用

International Conference on Computational Science and its Applications, ICCSA 2004

作者： Ahmad, Muhammad Bilal Chang, Min Hyuk Park, Seung Jin Park, Jong An Choi, Tae Sun Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Dept. of Biomedical Engineering Chonnam National University Hospital Gwangju Korea Republic of

ISBN: (纸本)3540220607

This paper describes real time object tracking of 3D objects in 2D image sequences. The moving objects are segmented by the method of differential image followed by the process of morphological dilation. The moving objects are recognized and tracked using statistical moments. The straight lines in the moving objects are found with the help of Radon transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence are used to calculate the velocity of the moving objects. The simulation results of the proposed method are promising on the test images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Radon

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Multiple-mode kalman filtering with node selection using bearings-only measurements

Multiple-mode kalman filtering with node selection using bea...

引用

Proceedings of the Thirty-Sixth Southeastern Symposium on System Theory (SSST04)

作者： Le, Qiang Kaplan, Lance M. McClellan, James H. Ctr. for Signal and Image Processing Sch. of Elec./Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 CTSPS Dept. of Engineering Clark Atlanta University Atlanta GA 30314

This work investigates multiple-mode tracking method with node selection using bearings-only measurements. We combine multiple-mode extended Kalman filter with node resource management to conserve energy while tracking a maneuvering target. Experiments using real data show that the MM adapts quicker to target maneuvers than the realizable single-mode tracker. Additional experiments show that the simplex node selection leads to better geolocation performance compared to the closest node selection when the number of active nodes is set to two.

关键词： Kalman filtering

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Direction-of-arrival estimation of wideband sources using arbitrary shaped multidimensional arrays

Direction-of-arrival estimation of wideband sources using ar...

引用

Proceedings - IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Yoon, Yeo-Sun Kaplan, Lance M. McClellan, James H. Ctr. for Signal and Image Processing Sch. of Elec. and Comp. Engineering Georgia Institute of Technology Atlanta GA 30332-0250 CTSPS Dept. of Engineering Clark Atlanta University Atlanta GA 30314

We generalize a new incoherent wideband direction-of-arrival (DOA) estimation algorithm that provides higher resolution than traditional incoherent techniques. The new method is able to better adjust its beam response when multiple sources are present than incoherent MUSIC. The original algorithm was designed to work strictly for an uniform linear array. In this paper, we demonstrate how to generalize the algorithm to work over arbitrary 1-D or 2-D arrays. We demonstrate the higher resolution of the new algorithm against incoherent MUSIC for 1-D and 2-D arrays using simulations of two source signals.

关键词： Sensors

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Assessment of intrathoracic airway trees: Methods and in vivo validation

引用

International Workshop on Computer Vision Approaches to Medical image Analysis, CVAMIA 2004 and International Workshop on Mathematical Methods in Biomedical image Analysis, MMBIA 2004 held in conjunction with 8th European Conference on Computer Vision, ECCV 2004

作者： Palágyi, Kálmán Tschirren, Juerg Hoffman, Eric A. Sonka, Milan Dept. of Image Processing and Computer Graphics University of Szeged SzegedH-6720 Hungary Dept. of Electrical and Computer Engineering The University of Iowa Iowa CityIA52242 United States Dept. of Radiology The University of Iowa Iowa CityIA52242 United States

ISBN: (纸本)3540226753

A method for quantitative assessment of tree structures is reported allowing evaluation of airway tree morphology and its associated function. Our skeletonization and branch–point identification method provides a basis for tree quantification or tree matching, tree–branch diameter measurement in any orientation, and labeling individual branch segments. All main components of our method were specifically developed to deal with imaging artifacts typically present in volumetric medical image data. The proposed method has been tested in a computer phantom subjected to changes of its orientation as well as in repeatedly CT-scanned rigid and rubber plastic phantoms. In this paper, validation is reported in six in vivo scans of the human chest. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Phantoms

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Modified radius-vector function for shape contour description

Modified radius-vector function for shape contour descriptio...

引用

International Conference on Computational Science and its Applications, ICCSA 2004

作者： Kang, Sung Kwan Ahmad, Muhammad Bilal Chun, Jong Hun Kim, Pan Koo Park, Jong An Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Provincial College of Namdo Korea Republic of College of Electronics and Information Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)3540220607

Shape is one of the salient features of visual content and can be used in visual information retrieval. Radius vector function for star-shaped objects is available. A modified radius-vector function for both types of shapes-star shaped, and non-star shaped is presented. The center of gravity is selected as the reference point. The corner points are marked as the nodes. Normalized vectors are calculated from the reference point to the corner nodes. The normalized vectors are arranged in ascending order, and the Euclidean distance of the query object with database objects is used for shape matching criteria. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Vectors

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Geo-information management 20

Geo-information management

引用

20th ISPRS Congress on Technical Commission VII

作者： Klimešová, Dana Czech University of Agriculture Prague Faculty of Economics and Management Dept. of Information Engineering Kamýcka 129 Praha 6 – Suchdol165 21 Czech Republic Czech Academy of Sciences Institute of Information Theory and Automation Dept. of Image Processing Pod vodárenskou věží 4 Prague 8182 00 Czech Republic

The contribution deals with the contextual design of spatial data for the purposes of the regional development, land management and government, describes the role of remote sensing data and contextual modelling for the context oriented geo-information and tries to provide the framework for the object hierarchy of classes and propose the ways of structure and behaviour modelling. The digital geographic databases are rapidly growing and the problem has shifted from finding the data to finding meaningful geographic information or better knowledge from the large volumes of data. GIS technology is changing to GIM technology (Geographical Information Management). Many users have their own specific requirements for the access to data, with regards to the administrative units where the evaluation is provided and considered the relations and contextual and temporal background for the data processing. Object-oriented image analysis is based on an object-oriented approach to image analysis. In contrast to the classical image processing method, the basic processing units are image objects or segments. Further motivation for the object-oriented approach is the fact that the expected result of most image analysis tasks is a set of real world objects. The topological relations of single or adjacent pixels are given by the raster implicitly. The increasing resolution of the sources results in the increasing number of objects of course and moreover the complexity of object structuring hierarchy is rapidly growing too. The automation of the classification and interpretation process gives better results when the fuzzy elements are implemented.

关键词： Information management

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Weighted vector directional filters optimized by genetic algorithms

引用

5th International Conference on Parallel processing and Applied Mathematics, PPAM 2003

作者： Lukac, Rastislav Smolka, Bogdan Swierniak, Andrzej Plataniotis, Konstantinos N. Venetsanopoulos, Anastasios N. Slovak Image Processing Center Jarkova 343 Dobsina049 25 Slovakia Department of Automatic Control Silesian University of Technology Akademicka 16 Str Gliwice44-101 Poland The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto Canada

ISBN: (纸本)3540219463

This paper focuses on genetic optimization and filtering efficiency ofa recently developed class ofWeighted Vector Directional Filters (WVDFs), which minimize the aggregated weighted angular distances between the samples contained in a sliding filtering window. As shown in the paper, the proposed genetically optimized WVDFs hold excellent detail preserving characteristics and are able to remove impulsive noise affecting color images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Impulse noise

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Adaptive noise reduction in microarray images based on the center-weighted vector medians

引用

5th International Conference on Parallel processing and Applied Mathematics, PPAM 2003

ISBN: (纸本)3540219463

In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preserving the spot edges. This paper contains the comparisons of the proposed technique with the standard schemes used in color image filtering, as well as examples of their efficiency when these methods are applied to typical microarray images. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Noise abatement

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Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application

Features extraction based on fuzzy clustering and segmentati...

引用

International Conference on Computer Graphics, Imaging and Visualization, CGIV

作者： M.N. Maliki S.A.R.A.B. Al-Attas Computer Vision Video and Image Processing (CVVIP) Research Group Department of Microelectronic and Computer Engineering (MiCE) Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia Computer Vision Universiti Teknologi Malaysia Skudai Johor Malaysia Universiti Teknologi Malaysia Skudai Johor MY Dept. of Microelectron. & Comput. Eng. Univ. Teknologi Malaysia Johor Malaysia

Fuzzy-based clustering algorithm is becoming popular in image processing, especially in image segmentation. Based on the degree of the membership function, each pixel can be grouped into "natural group" of pixels according to the spatial coordinate using their values. In this work we present features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. Instead of using blob analysis, we believe that fuzzy based clustering algorithm, can also be used to generate different clusters. Incorporating the motion-based segmentation the complexity of the fuzzy clustering is also reduced because only the motion region is processed to the clustering algorithm.

关键词： Feature extraction Surveillance Clustering algorithms image segmentation Equations Prototypes Application software Computer vision image processing Data mining

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