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检索条件"主题词=Change Detection Algorithms"

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Calculation algorithm of hepatorenal contrast in ultrasonic images based on fuzzy inference

Calculation algorithm of hepatorenal contrast in ultrasonic ...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Yutaka Hatakeyama Hiromi Kataoka Noriaki Nakajima Teruaki Watabe Yoshiyasu Okuhara Center of Medical Information Science Kochi Medical School Kochi university Japan

A calculation algorithm for hepatorenal contrast from real ultrasonic images is proposed for analysis research of time series change in patient condition by aging. It provides automatic calculation of kidney pelvis position based on fuzzy inference, which detects kidney and liver region for hepatorenal contrast to calculate. Experimental calculation results for 150 ultrasonic images taken in real treatment from Kochi Medical School hospital show that accuracy of kidney pelvis detection is 93% and that correlation coefficient of hepatorenal contrast with normal gamma-GT is 0.82. The proposed algorithm is being considered for use in analysis of condition change in Center of Medical Information Science, Kochi Medical School.

关键词： Inference algorithms change detection algorithms Biomedical imaging Algorithm design and analysis Pelvis Image analysis Time series analysis Aging Liver Medical treatment

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A fuzzy reasoning based approach for ARMA order selection

A fuzzy reasoning based approach for ARMA order selection

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： M. Haseyama M. Emura H. Kitajima School of Engineering Hokkaido University Sapporo Japan

A fuzzy reasoning based approach for ARMA order selection is discussed in this paper. The proposed method attempts to select the optimal ARMA order of a time-varying ARMA model. This method improves model validity-criterion based order selection, such as the AIC (Akaike's Information Criterion) and the MDL (Minimum Description Length), etc with applying both of a fuzzy reasoning method and a fuzzy c-means clustering method. These fuzzy methods are incorporated in the proposed method as follows: (1) Suppose the ARMA order of the reference time-varying model changes. The suitable ARMA order is selected by utilizing a recursive fuzzy reasoning method. (2) By using a fuzzy c-means clustering method, we detect the time at which the ARMA order of the reference model changes, and the clustering values are used for adaptive setting the forgetting factor in the recursive fuzzy reasoning method. The experimental results show that the proposed method effectively selects the ARMA orders of a time-varying ARMA model.

关键词： Fuzzy reasoning Clustering algorithms Clustering methods Fuzzy sets Fluctuations change detection algorithms Fuzzy control

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PMCMA: Pattern Mining in SAR Time Series by change Matrix Analysis

PMCMA: Pattern Mining in SAR Time Series by Change Matrix An...

引用

International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp)

作者： Dong Peng Ting Pan Wen Yang Heng-Chao Li School of Electronic Information Wuhan University Wuhan China School of Information Science and Technology Southwest Jiaotong University Chengdu China

This paper presents a novel change detection scheme for synthetic aperture radar (SAR) time series, named Pattern Mining by change Matrix Analysis (PMCMA). This scheme involves three steps: 1) change detection in SAR time series via the statistic of change matrix; 2) change matrix clustering by the simultaneous clustering and model selection (SCAMS) algorithm; 3) change pattern classification using the clustering results of change matrices. The procedure is executed with an automatic clustering algorithm and does not require the default number of clusters. The proposed approach is tested on two SAR time series of 12 TerraSAR-X images acquired from September, 2013 to October, 2014 over the Shanghai, China. Experimental results show the effectiveness of the proposed PMCMA scheme.

关键词： Time series analysis Synthetic aperture radar Radar polarimetry Clustering algorithms Indexes change detection algorithms Matrix decomposition

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Image registration using log-polar transform and phase correlation

Image registration using log-polar transform and phase corre...

引用

IEEE Region 10 International Conference TENCON

作者： Jignesh N Sarvaiya Suprava Patnaik Salman Bombaywala Electronics Engineering Department SVNIT Surat India

Registration is the process of finding transformations that makes correspondence between related image pairs so that pixels in the two images precisely coincide to the same points in the scene. Once registered, the image can be combined or fused in a way that improves useful information extraction. The log-polar transform (LPT) is a well known space variant image registration scheme used for medical images. However though LPT is invariant to rotation and scale changes, it does not support translation faithfully. In this paper, a hybrid algorithm for image registration that produces faithful mapping under affine geometrical distortion using LPT, Fourier transform (FT), and phase correlation has been presented. The resultant algorithm is invariant to rotation, scale and translation. The proposed algorithm is verified on medical images with affine shifting, partial data, and in the presence of noise.

关键词： Image registration Fourier transforms Biomedical imaging Image sensors change detection algorithms Pixel Layout Data mining Phase distortion Conformal mapping

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An online algorithm for segmenting time series

引用

IEEE International Conference on Data Mining (ICDM)

作者： E. Keogh S. Chu D. Hart M. Pazzani Department of Information and Computer Science University of California Irvine CA USA

ISBN: (纸本)0769511198

In recent years, there has been an explosion of interest in mining time-series databases. As with most computer science problems, representation of the data is the key to efficient and effective solutions. One of the most commonly used representations is piecewise linear approximation. This representation has been used by various researchers to support clustering, classification, indexing and association rule mining of time-series data. A variety of algorithms have been proposed to obtain this representation, with several algorithms having been independently rediscovered several times. In this paper, we undertake the first extensive review and empirical comparison of all proposed techniques. We show that all these algorithms have fatal flaws from a data-mining perspective. We introduce a novel algorithm that we empirically show to be superior to all others in the literature.

关键词： Data mining Piecewise linear techniques Piecewise linear approximation Clustering algorithms Computer science Explosions Databases change detection algorithms Indexing Association rules

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detection and Segmentation of Moving Objects in Video

Detection and Segmentation of Moving Objects in Video

引用

Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Kunio Takaya Department of Electrical Engineering University of Saskatchewan Saskatoon SAS Canada

This paper proposes to define moving objects in video scene in terms of MPEG like motion vectors. Local areas in a video scene where large magnitude of motion vectors is detected are regarded to contain a moving object(s). Macro blocks indicating a large motion vector are segmented from the frame of video image. In order to identify the moving object with information relevant to its geometric shape, and to track the moving object, the segmented parts of video image are further processed to find salient corners with the SUSAN edge/corner detector. Local minima of the output from the SUSAN algorithm are the representative feature points of the moving object. For the motion tracking applicable to video surveillance, correspondence between the frame to frame change of those feature points is calculated by the Scott and Longuet-Higgins algorithm, which provides a direct way of associating features of two arbitrary patterns consisting of feature points

关键词： Object detection Layout Image segmentation Image edge detection change detection algorithms Motion detection Shape Detectors Tracking Video surveillance

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Instant noise estimation using Fourier transform of AMDF and variable start minima search

Instant noise estimation using Fourier transform of AMDF and...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Zhong Lin R. Goubran Department of Systems and Computer Engineering Carleton University Canada

The paper proposes a new algorithm to estimate and suppress highly non-stationary background noise from speech. The algorithm consists of two spectral detectors. The first one uses strict criteria and is based on the Fourier transform of the AMDF (average magnitude difference function). The second one uses loose criteria and is based on variable start minima search. By combining the two detectors, the algorithm instantaneously detects and tracks a sudden change of noise energy level. The proposed algorithm is then merged to conventional MMSE-STSA (MMSE short time spectral amplitude) to suppress non-stationary noise in speech. Simulation results are given to show the superiority of our proposed algorithm.

关键词： Fourier transforms Speech enhancement change detection algorithms Detectors Working environment noise Frequency Equations Systems engineering and theory Background noise Noise level

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Enhancements of an Adaptive Neighborhood Speckle Filtering Algorithm to Improve Analysis of Polarimetric SAR Imagery

Enhancements of an Adaptive Neighborhood Speckle Filtering A...

引用

IEEE Southwest Symposium on Image Analysis and Interpretation

作者： Jason Fritz Mark Tabb V. Chandrasekar Colorado State University USA Microsoft Corporation Boulder CO USA Elec. & Computer Engineering Department Colorado State University Fort Collins CO USA

ISBN: (纸本)9781424422968;1424422965

Image noise often hinders the analysis and understanding of most remote sensing imagery. Synthetic aperture radar (SAR) images, in particular, suffer from a phenomenon known as speckle. Speckle is the result of the coherent sum of scattering mechanisms within a resolution cell and is typically modeled as multiplicative noise. Numerous approaches have been taken to reduce speckle, the most promising of which are adaptive and statistically based. These algorithms typically take advantage of the statistics of speckle or the multi-scale image structure to detect regions of similarity. Several of these algorithms also take advantage of the multi-channel nature of polarimetric SAR to improve the region detection. This work presents two enhancements to such an algorithm with an application toward polarimetric parameter estimation and change detection and presents results using the Japanese satellite-based Phased Array L-band Synthetic Aperture Radar (PALSAR) system.

关键词： Speckle Filtering algorithms Image analysis Algorithm design and analysis Synthetic aperture radar change detection algorithms Radar detection Phased arrays Remote sensing Radar scattering

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Active exploration for feature based global localization

Active exploration for feature based global localization

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： M. Seiz P. Jensfelt H.I. Christensen Autonomous System Laboratory EPFL Swiss Federal Institute of Technology Lausanne Switzerland Centre for Autonomous Systems Royal Institute of Technology Stockholm Sweden

Presents an algorithm for active exploration of the environment by a mobile robot when performing global localization. During the localization process interesting regions for future exploration are selected based on already detected features and on the hypotheses generated by the localization algorithm. The localization process is improved by presenting it a richer set of features. The proposed algorithm provides highly robust global localization in real world environments with very low computational effort spent in finding exploration goal points. Experimental results are given, demonstrating the effectiveness of the algorithm in a number of different situations.

关键词： Orbital robotics Space exploration Computer vision Intelligent robots Space technology Laboratories Mobile robots Robustness Costs change detection algorithms

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Efficient ARQ error control strategies with adaptive packet length for mobile radio networks

Efficient ARQ error control strategies with adaptive packet ...

引用

International Conference on Universal Personal Communications

作者： A. Annamalai V.K. Bhargava Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada

The throughput of conventional ARQ protocols, such as the stop-and-wait, go-back-N and selective-repeat, can be improved by dynamically adapting the protocol packet length with the changes in channel conditions. Such an action requires a method for sensing the channel state and detecting a change in it. This paper examines four simple algorithms to implement such an adaptive system in a slowly varying mobile radio channel. It is shown that these algorithms performs remarkably well in spite of their simplicity. In particular, the algorithm based on counting the contiguous positive and/or negative acknowledgment messages provides a reliable channel state information (CSI) within only a few block transmissions, and requires the shortest observation interval among the four schemes.

关键词： Automatic repeat request Error correction Programmable control Adaptive control change detection algorithms Protocols Throughput Adaptive systems Land mobile radio Channel state information

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