Object-oriented database systems aim at meeting the data modelling, performance, cooperative design and version management requirements of current advanced applications, such as CAD (computer-aided design), CAM (compu...
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Object-oriented database systems aim at meeting the data modelling, performance, cooperative design and version management requirements of current advanced applications, such as CAD (computer-aided design), CAM (computer-aided manufacturing), CASE (computer-aided software engineering), CIM (computer integrated manufacturing), hypermedia and expert systems. This paper presents the ALEX Object Manager, which is a part of the ALEX object-oriented database management system that is being developed based on the ODMG-93 standard. The system decomposition and process layout are presented, some implementation problems are discussed and the current status of the system is reported.
This paper describes a binary image representation scheme, which is called image block representation and presents a new skeletonization algorithm, which is implemented on block represented binary images. The main pur...
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This paper describes a binary image representation scheme, which is called image block representation and presents a new skeletonization algorithm, which is implemented on block represented binary images. The main purpose of the image block representation is to provide an efficient binary image representation that permits the execution of operations on image areas instead of image points. The skeletonization algorithm operates in four subiterations: each subiteration deletes the north, the south, the west and the east boundary points, respectively. Due to the substitution of the boundary points by the block's boundary points the relevant operations are performed fast, while preserving the end points and the object connectivity.
In this paper we present a method for image feature extraction using coordinate logic filters. Coordinate logic filters constitute a new kind of nonlinear filter, which are closely related to morphological fillers. Th...
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In this paper we present a method for image feature extraction using coordinate logic filters. Coordinate logic filters constitute a new kind of nonlinear filter, which are closely related to morphological fillers. The key issue to the coordinate logic analysis of images is the methodology of fast successive filtering and managing of the residues. The desired processing is succeeded by executing only direct logic operations among the pixels of the given image. The coordinate logic filters can be easily implemented using logic circuits or cellular automata.
In this paper, several methods to enlarge by parametrization the families of wavelets are proposed. The main goal is to prove that every remarkable classical wavelet can generate a class of wavelets, each one preservi...
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In this paper, several methods to enlarge by parametrization the families of wavelets are proposed. The main goal is to prove that every remarkable classical wavelet can generate a class of wavelets, each one preserving the main characteristics of the original, but offering more mobility for time-frequency representations. Here, an important class is described: tight frames using wavelets. This class is used for apllications like: seismic signal processing, underwater acoustics, radar processing, image processing, automatic interpretation of images.
This paper presents a novel and robust GA-fuzzy controller structure. This controller incorporates genetic algorithms and fuzzy logic in order to control the complicated nonlinear plant. The GA is used to optimize the...
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ISBN:
(纸本)0780342534
This paper presents a novel and robust GA-fuzzy controller structure. This controller incorporates genetic algorithms and fuzzy logic in order to control the complicated nonlinear plant. The GA is used to optimize the parameters of fuzzy logic and its control rules. The results of simulation studies for an industrial plant and inverted pendulum demonstrate that the controller is robust and efficient.
Deals with identification of nonlinear processes and model-based fault detection/isolation (FDI). The applicability of the proposed methods is illustrated on a three-tank laboratory setup. The process identification i...
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Deals with identification of nonlinear processes and model-based fault detection/isolation (FDI). The applicability of the proposed methods is illustrated on a three-tank laboratory setup. The process identification is based on the local linear model tree (LOLIMOT) algorithm and leads to local linear models. The parameters of the local models are used for generation of structured residual equations, similar to the well-known parity space approach. This enables detection and isolation of five different sensor faults of the three-tank process, continously over all ranges of operation.
Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an imag...
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Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system.
In this paper is presented a new approach to robust non-linear control design, which can guarantee a prescribed decay rate of exponential stability for known system uncertainties. The proposed approach doesn’t employ...
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In this paper is presented a new approach to robust non-linear control design, which can guarantee a prescribed decay rate of exponential stability for known system uncertainties. The proposed approach doesn’t employ matching conditions. The non-linear power system with deterministic uncertainties is chosen as demonstration example.
This paper describes a method to achieve the most relevant contours of an image. The presented method proposes to integrate the information of the local contours from chromatic components such as H, S and I, taking in...
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This paper describes a method to achieve the most relevant contours of an image. The presented method proposes to integrate the information of the local contours from chromatic components such as H, S and I, taking into account the criteria of coherence of the local contour orientation values obtained from each of these components. The process is based on parametrizing pixel by pixel the local contours (magnitude and orientation values) from the H, S and I images. This process is carried out individually for each chromatic component. If the criterion of dispersion of the obtained orientation values is high, this chromatic component will lose relevance. A final processing integrates the extracted contours of the three chromatic components, generating the so-called integrated contours image.
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