this paper combines two approaches for shape recognition to reduce the memory needed to store the salient features of the image and the time to describe images. A first approach uses pyramidal multiresolution to provi...
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We investigate relations between halftoning and the binary image algebra which includes set and morphological operations. We show that halftoning has important commutative properties with respect to unions, intersecti...
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In this paper pruning techniques are illustrated, which allow us to suitably simplify the (discrete and semicontinuous) skeleton, by either deleting or shortening peripheral skeleton branches. To avoid excessive short...
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In this paper, we consider how machine learning can be used to help solve the problem of identifying objects or structures composed of parts as they occur in complex scenes. We first discuss an automatic conditional r...
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Motion estimation is among the key techniques for a variety of problems in image sequence processing. Even for ideal conditions, when all temporal changes in the image sequence are solely due to motion, the performanc...
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In this paper we present a graph matching algorithm based on probabilistic relaxation. the distinctive feature of our work is that we included structural and symbolic attributes as well as the numeric attributes that ...
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the presented tissue segmentation technique is based on a multispectral analysis approach. the input data were derived from high resolution MR images. Usually, only two inputs, proton density (PD) and T2-weighted imag...
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the proceedings contain 114 papers. the special focus in this conference is on Textures and Segmentation. the topics include: Region-based segmentation of textured images;a new approach to image segmentation;using hop...
ISBN:
(纸本)3540602984
the proceedings contain 114 papers. the special focus in this conference is on Textures and Segmentation. the topics include: Region-based segmentation of textured images;a new approach to image segmentation;using hopfield networks to segment color images;the watershed transformation for multiresolution image segmentation;bounds on the optimal elasticity parameters for a snake;efficient attributed graph matching and its application to image analysis;matching delaunay graphs;an integrated approach to grouping and matching;an adaptive reject option for LVQ classifiers;a model based method for characterization and location of curved image features;estimation of curvature and tangent direction by median filtered differencing;adaptive elimination of false edges for first order detectors;spatio-temporal data management for a 3D graphical information system;an object-oriented framework for digital image processing systems;data packing vs processing speed on low-cost massively parallel systems;a new parallel method based on a genetic approach for determination and classification of skin spots;a VLSI scalable processor array for motion estimation;evaluating digital angles by a parallel diffusion process;a pyramidal approach to convex hull and filling algorithms;a code based approach to image-processing teaching;a visual speech model based on fuzzy-neuro methods;edge detection filters based on artificial neural networks;use of cortical filters and neural networks in a self-organising image classification system;occluded objects recognition using multiscale features and hopfield neural networks and automatic video segmentation through editing analysis.
Image sequence analysis involves 3D data. Consequently, we propose a new spatiotemporal global approach for image sequence processing where an image sequence is regarded as a 3D data flow. this approach is illustrated...
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We define Lazy Term Rewriting Systems and show that they can be realized by local adaptations of an eager implementation of conventional term rewriting systems. the overhead of lazy evaluation is only incurred when la...
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