The proceedings contain 18 papers. The topics discussed include: noise tolerant dendritic lattice associative memories;algorithms for adaptive nonlinear pattern recognition;massively parallel computation of lattice as...
ISBN:
(纸本)9780819487469
The proceedings contain 18 papers. The topics discussed include: noise tolerant dendritic lattice associative memories;algorithms for adaptive nonlinear pattern recognition;massively parallel computation of lattice associative memory classifiers on multicore processors;fractal-based watermarking of color images;the optimum discrete scan-type approximation of low-pass type signals bounded by a measure like Kullback-Leibler divergence;extension of the concept of multi-legged-type signals to the optimum multidimensional running approximation of multidimensional band-limited signals;limited-photon 3D image recognition using photon-counting integral imaging;aligning images with cad models via quaternion optimization;the optimum approximation of multidimensional vector signals by multi-input multi-output matrix filter banks;multidimensional feature extraction from 3D hyperspectral images;and a comparative test of different compression methods applied to solar images.
The proceedings contain 18 papers. The topics discussed include: model based compression of the calibration matrix for hyperspectral imaging systems;optimization of a lossless object-based compression embedded on GAIA...
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ISBN:
(纸本)9780819468482
The proceedings contain 18 papers. The topics discussed include: model based compression of the calibration matrix for hyperspectral imaging systems;optimization of a lossless object-based compression embedded on GAIA a next-generation space telescope;design of multichannel filter banks for subband coding of audio signals using multirate signal processing techniques;the optimum running-type approximation for time-limited worst-case measures of error based on Fredholm integral equation using Pincherle-Goursat kernel;adaptive model and neural network based watermark identification;compressed versus uncompressed domain video watermarking;generation of lattice independent vector sets for pattern recognition applications;and the validity of pyramid k-means clustering.
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal mult...
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ISBN:
(纸本)0819463949
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal multi-fractal boundary encoding in object-based image compression;perspectives on data compression methods for network-level management of multi-sensor systems;exploiting data compression methods for network-level management of multi-sensor systems;a model utilizing artificial neural network for perceptual image;use of adaptive models in watermark identification;data payload optimality: a key issue for for video watermarking applications;quantization index modulation-based watermarking using holography;the optimum estimation of statistical signals based on systematic expression of many types of sample arrays in multidimensional space;and segmentation of motion textures using mixed-state Markov random fields.
The proceedings contain 22 papers. The topics discussed include: data compression in emitter location systems via sensor pairing and selection;impact of wavelet types on imagedata characteristics during compression;o...
ISBN:
(纸本)9780819472953
The proceedings contain 22 papers. The topics discussed include: data compression in emitter location systems via sensor pairing and selection;impact of wavelet types on imagedata characteristics during compression;optimization of HVS-based objective image quality assessment with eye tracking;lossless compression of images with permutation codes;neural network-based watermark embedding and identification;an image watermark tutorial tool using Matlab;the optimum approximation of an orthogonal expansion having bounded higher order correlations of stochastic coefficients;simultaneous minimization of various worst case measures of error in FIR filter bank;flash hyperspectral imaging of non-stellar astronomical objects;area-based novel approach for fuzzy edge detection using type II fuzzy sets;and compensation method for quantitative observation of multicolor fluorescence with nonlinear mapping.
Computer aided surgery is by sure a set of technologies that provide a real support to surgeons during their operational job. This includes - but it is not limited to - novel sensors and systems and software for data ...
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ISBN:
(纸本)9780819487469
Computer aided surgery is by sure a set of technologies that provide a real support to surgeons during their operational job. This includes - but it is not limited to - novel sensors and systems and software for data analysis and visualization. In particular the use of intraoperational probes is eased if the position of the probe within the operational field can be exactly calculated by the supporting software. Commercial systems have already been developed for this purpose but their complexity and cost reduces their usability for the majority of probes. This paper presents a simple approach to calculate the probe position within the operational field that requires a minimum cost.
Distributed Fiber Vibrant Sensor System is a new type of system, which could be used in long-distance, strong-EMI condition for monitoring vibration and sound signals. Position determination analysis toward this syste...
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ISBN:
(纸本)9780819487469
Distributed Fiber Vibrant Sensor System is a new type of system, which could be used in long-distance, strong-EMI condition for monitoring vibration and sound signals. Position determination analysis toward this system is popular in previous papers, but pattern recognition of the output signals of the sensor has been missed for a long time. This function turns to critical especially when it is used for real security project in which quick response to intrusion is a must. After pre-processing the output signal of the system, a MFCC-based approach is provided in this paper to extract features of the sensing signals, which could be used for pattern recognition in real project, and the approach is proved by large practical experiments and projects.
Edge detection process plays an important role in image processing, and at its most basic level classifies image pixels into edges and non-edge pixels. The accuracy of edge detection methods in general image processin...
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ISBN:
(纸本)9780819487469
Edge detection process plays an important role in image processing, and at its most basic level classifies image pixels into edges and non-edge pixels. The accuracy of edge detection methods in general image processing determines the eventual success or failure of computerized analysis procedures which follow the initial edge detection determinations. In view of this downstream impact on pattern processing, considerable care should be taken to improve the accuracy of the front-end edge detection. In general, edges would be considered as abrupt changes or discontinuity in intensity of an image. Therefore, most of edge detection algorithms are designed to capture signal discontinuities but the spatial character of especially complex edge patterns has not received enough attention. Edges can be divided into basic patterns such as ramp, impulse, and step: different types have different shapes and consequent mathematical properties. In this paper, the behavior of various edge patterns, under different order derivatives in the discrete domain, are examined and analyzed to determine how to accurately detect and localize these edge patterns, especially reducing double edge response that is one important drawback to the derivative method. General rules about the depiction of edge patterns are proposed. Asides from the ideal patterns already described, other pattern types, such as stair and roof, are examined to broaden the initial analysis. Experiments conducted to test my propositions support the idea that edge patterns are instructive in enhancing the accuracy of edge detection and localization.
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