A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of w...
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ISBN:
(纸本)078031865X
A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of what the feature is. Using this method, an automatic fingerprint recognition system has been developed, which is characterized by fewer requirements imposed on the preprocessing, lower sensitivity to the noise, higher capacity and parallelism being compared with other traditional ones. The system can list out the most promising fingerprints as a preclassifier.< >
This paper proposes a novel method of speaker normalization by means of input space optimization for continuous density hidden Markov models (CDHMM). The parameters of a linear feature transformation function are so d...
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An important step in the analysis of printed documents is the segmentation and classification of blocks into categories such as photographs, titles, paragraphs, etc. The authors present an approach to enhance and comb...
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An important step in the analysis of printed documents is the segmentation and classification of blocks into categories such as photographs, titles, paragraphs, etc. The authors present an approach to enhance and combine two commonly used methods, a merging bottom-up approach and a cutting top down approach, to segment pages of a newspaper. The implementation of a layout analysis system as a preprocessing module for a commercial product is described.< >
We present a novel neural network model for visual information processing. The model uses a hierarchical network with local connectivity (image pyramid) as a stem network. This network generates hypotheses about the e...
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This paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives ...
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This paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives a hierarchy of motion. The base consists of object-characterizing segments which are determined by a multiple threshold method. This method yields feature descriptions for each segment. Based on this description, an association of the segments from frame to frame is done. The resulting motion vectors are concatenated as long as the features of the segments and the motion-specific attributes do not change significantly. In a subsequent step the analysis of motion-specific interrelations between the tracks is executed. The event recognition is processed and controlled by event models. In conformity with motion concepts the hypotheses of events are initialized by motion dependent changes of the tracks.< >
The discrete cosine transform plays an important role in rectangularly sampled image coding for its excellent performance in information compaction. Hexagonal sampling is the optimal sampling strategy for two-dimensio...
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The discrete cosine transform plays an important role in rectangularly sampled image coding for its excellent performance in information compaction. Hexagonal sampling is the optimal sampling strategy for two-dimensional signals in the sense that exact reconstruction of the waveform requires a lower sampling density than with the alternative schemes. In this Letter, a hexagonal discrete cosine transform (HDCT) for encoding the hexagonally sampled signals is presented.
A new approach for optical flow (image velocity) fields computation is presented using computational neural networks. The computational procedure consists of three stages: estimation of the parameters of the neural ne...
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A new approach for optical flow (image velocity) fields computation is presented using computational neural networks. The computational procedure consists of three stages: estimation of the parameters of the neural network model, dynamic measurement of the perpendicular velocity components of the contours or region boundaries and computation of the image velocity fields. The parameters are estimated by comparing the energy function of the neural network with a constrained error function. The nonlinear velocity fields computation method is then carried out iteratively by using a dynamic algorithm to minimise the energy function simultaneously with the dynamic measurement of the perpendicular velocity components by a dynamic procedure. Experiments generate velocity fields that are meaningful and consistent with visual perception.
A blind image restoration algorithm for noiseless blurred two-tone images based on the criterion of minimum entropy is presented. Performance of the algorithm is demonstrated by simulation.
A blind image restoration algorithm for noiseless blurred two-tone images based on the criterion of minimum entropy is presented. Performance of the algorithm is demonstrated by simulation.
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2018 wieder die Darstellung aktueller Forschungsergebnisse und ...
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ISBN:
(数字)9783662565377
ISBN:
(纸本)9783662565360
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2018 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.
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