In this paper we discuss the application of spatial-domain filters for solving the problem of automatic lane detection on gel electrophoresis computerimages. The problem can be posed as the determination of the numbe...
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In this paper we discuss the application of spatial-domain filters for solving the problem of automatic lane detection on gel electrophoresis computerimages. The problem can be posed as the determination of the number, location and orientation of lanes on the image, based on the analysis of their gray-level intensities. A novel iterative filtering algorithm is proposed based on the periodicity of image projection pattern. The algorithm is compared with clustering and frequency-domain filtering methods in terms of their effectiveness and efficiency from which a trade-off solution is presented.
Mathematical Morphology is a theory that studies the decomposition of lattice operators in terms of some families of elementary lattice operators. When the lattices considered have a sup-generating family, the element...
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Mathematical Morphology is a theory that studies the decomposition of lattice operators in terms of some families of elementary lattice operators. When the lattices considered have a sup-generating family, the elementary operators can be characterized by structuring functions. The representation of structuring functions by neighborhood graphs is a powerful model for the construction of image operators. This model, that is a conceptual improvement of the one proposed by Vincent, permits a natural polymorphic extension of classical softwares for imageprocessing by Mathematical Morphology. These systems constitute a complete framework for implementations of connected filters, that are one of the most modern and powerful approaches for image segmentation, and of operators that extract information from populations of objects in images. In this paper, besides presenting the formulation of the model, we present the polymorphic extension of a system for morphological imageprocessing and some applications of it in image analysis.
The proceedings contain 26 papers. The special focus in this conference is on Document processing, Retrieval and Handwriting Recognition. The topics include: Crucial combinations for the recognition of handwritten let...
ISBN:
(纸本)3540637915
The proceedings contain 26 papers. The special focus in this conference is on Document processing, Retrieval and Handwriting Recognition. The topics include: Crucial combinations for the recognition of handwritten letters;recognition of printed and handwritten arabic characters;objective evaluation of the discriminant power of features in an HMM-based word recognition system;effect of variability on letters generation with the vectorial delta-lognormal model;off-line signature verification;research advances in graphics recognition;future trends in retrospective document conversion;using binary pyramids to create multi-resolution shape descriptors;contour pixel classification for character skeletonization;constraint propagation vs. syntactical analysis for the logical structure recognition of library references;from documents towards html text;document modeling for form class identification;composite document analysis by means of typographic characteristics;techniques for the automated testing of document analysis algorithms;graphical tools and techniques for querying document image databases;handwritten numeral recognition via fuzzy logic and local discriminating features;unsupervised learning of character prototypes;off-line cursive word recognition with a hybrid neural-hmm system;a fuzzy perception for off-line handwritten signature verification and an evaluation of different handwriting observation techniques from a signature verification point of view.
This work introduces a new framework for shape characterization of neural cells by semi-automated generation of dendrograms, which are abstract structures describing different aspects associated to the branching struc...
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This work introduces a new framework for shape characterization of neural cells by semi-automated generation of dendrograms, which are abstract structures describing different aspects associated to the branching structure of dendrites in neurons. Particularly, the dendrograms generated by the proposed method includes the length of each dendritic segment. The new method, which is based on multiscale curvature contour segmentation and syntactic shape analysis, is robust and greatly improves the tiresome task of dendrogram extraction, traditionally performed by human operators. Results corroborating the effectiveness of the technique are also presented.
Interactive tridimensional visualization of terrain models can be found in geographical information systems and computer games. Both applications share the need for high performance algorithms that are tailored to pro...
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Interactive tridimensional visualization of terrain models can be found in geographical information systems and computer games. Both applications share the need for high performance algorithms that are tailored to produce textured images in interactive time, say at least 5 frames per second. We propose and analyze the extension of a well known ray casting algorithm to the case where the view plane is not vertical. Three efficient algorithms are presented and compared. Experimental results are shown and conclusions are made.
This paper presents a new quantization method for color images. It uses a local error optimization strategy to generate near optimal quantization levels. The algorithm is simple to implement and produces results that ...
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This paper presents a new quantization method for color images. It uses a local error optimization strategy to generate near optimal quantization levels. The algorithm is simple to implement and produces results that are superior than those of other popular image quantization algorithms.
The article describes a method for object and terrain visualization by means of the combination of two algorithms, one for terrain data and one for objects. Our purpose is to generate, efficiently and rapidly, aerial ...
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The article describes a method for object and terrain visualization by means of the combination of two algorithms, one for terrain data and one for objects. Our purpose is to generate, efficiently and rapidly, aerial images of terrain with objects such as houses, vehicles, and transmission lines, thus allowing a simulated flight. For the objects, described by lines and polygons, the Z-Buffer algorithm is used; for the terrain, described by height maps, an optimized ray casting algorithm, called Floating Horizon Algorithm, is used.
A multiscale method for segmenting and enhancing lesions of various sizes in mammograms is presented. The method uses two stages. The first stage applies a multiscale automatic threshold estimator based on histogram m...
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A multiscale method for segmenting and enhancing lesions of various sizes in mammograms is presented. The method uses two stages. The first stage applies a multiscale automatic threshold estimator based on histogram moments to segment the mammogram at multilevels. The second stage converts the segmented image using pseudo-colour mapping to produce a colour image. An algorithm is presented as well as experimental results. Mammograms are digitalised using a table scanner with a transparency adapter and the algorithm is implemented in Borland C++ 4.02 on a 486 PC. The results are analogous to a breast map which provide an adequate basis for radiological breast tissue differentiation and analysis in digital mammography. Experimental results and judgments from radiological experts are very encouraging.
The purpose of this paper is to present a system for the analysis and classification of Synthetic Aperture Radar (SAR) images. This system, unlike most of its competitors, allows a careful modeling of the statistical ...
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The purpose of this paper is to present a system for the analysis and classification of Synthetic Aperture Radar (SAR) images. This system, unlike most of its competitors, allows a careful modeling of the statistical properties of the data beyond the usual Gaussian hypothesis. The modeling tools include basic descriptive measures and the choice of suited distributions, through goodness-of-fit tests, to model the data. The classification tools offer the choice between pointwise and contextual (Markovian) techniques, and the quantitative assessment of the quality of the results. The system is goal-driven, and its interfaces are solely based on pull-down menus; the user is prompted with the correct sequence of operations, whenever an invalid option is invoked. An example of the use of this system for the classification of a SAR image is presented.
This paper presents a novel technique for PCB inspection based on the comparison of the Connected Table of a Reference and a Test image. The method is based on connected component analysis, which is a natural way to e...
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This paper presents a novel technique for PCB inspection based on the comparison of the Connected Table of a Reference and a Test image. The method is based on connected component analysis, which is a natural way to extract the connectivity information of the conductors of a PCB. The registration of the PCB holes, which is a common problem related to referential model techniques, is solved by the concept of zone of influence of each hole. This paper describes the method and its implementation using standard Morphology imageprocessing techniques. A result of applying the technique to real images is shown.
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