This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces t...
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This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on...
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ISBN:
(纸本)0769507506
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on the idea of obtaining a model of the elementary particles that form a texture by optimizing a gray scale structuring element to fit the shape of elementary particles. The optimization method is applied in two stages: the first stage optimizes the extent of the structuring element and the second optimizes the pixel values in the extent.
An algorithm derived from the mixture probability algorithm has been constructed by using the autoregressive model(AR) with bias component to analyze the cross-sectional mean void fraction signals. However in the algo...
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An algorithm derived from the mixture probability algorithm has been constructed by using the autoregressive model(AR) with bias component to analyze the cross-sectional mean void fraction signals. However in the algorithm with a maximum likelihood estimates, equations for parameter estimation were very complicated. So in this paper, we modified the mixture probability algorithm and proposed new algorithm based on a stochastic Newton method. The effectiveness of our method is confirmed by applying ones to classify the crosssectional mean void fraction signals of gas-liquid two-phase flow.
A self – tuning PID controller algorithm has been derived in this paper. The process is identified by the regression (ARX) continuous – time model using the recursive least squares method (RLSM) with applied directi...
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A self – tuning PID controller algorithm has been derived in this paper. The process is identified by the regression (ARX) continuous – time model using the recursive least squares method (RLSM) with applied directional forgetting. The recursive parameter estimates of the continuous – time model (differential equation) are used to synthesis the PID controller. controller synthesis is designed on the basis of a dynamics inversion method. This method allows the tuning of standard analog and digital controllers for chosen types of controlled processes without or with time delay. The algorithm is suitable for the automatic setting of analog and digital PID controllers for deterministic processes or the adaptive control of stochastic and nonlinear processes. The analog modification PID controller has been verified by computer simulation.
This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processi...
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This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.
The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We...
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The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We propose a method to initialize the LMS algorithm which dramatically shortens its adaptation period. We also prove that under certain condition this initialization can be computed without explicit knowledge of either the reference or noise spectrum. Although the work is illustrated using the filtered-X scheme, this idea can also be applied to other similar schemes. Two successful experiments starting from black-box identification to real-time control have verified the effectiveness of this idea.
The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty p...
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The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.
In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is...
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In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is treated by using algebraic methods and geometric design concepts. The idea of the classical Luenberger observer is generalized in an attempt that residual generators for solving the robust FDI problem can be designed.
A new approach to analysis of robot stability is presented by defining the statically stable area for the foot placement. The proposed approach is applied not only to generate the free gait for a quadruped robot walki...
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A new approach to analysis of robot stability is presented by defining the statically stable area for the foot placement. The proposed approach is applied not only to generate the free gait for a quadruped robot walking in difficult terrain, but also to judge the robot stability. The effectiveness of this method is demonstrated by a practical example.
A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG ...
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A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG was obtained by subtracting the detected spike waveforms from the EEG with spike . The proposed method was evaluated by using simulated EEG data, which consisted of a summation of EEG without spike and model waveform of typical spike. The background EEG separated by the method was processed by the automatic background EEG interpretation.
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