We present an approach for large medical images database indexing and retrieval using TTA10 algorithm. Our approach consist of primary and secondary tessellation stages, therefore it can be used in computer cluster wi...
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We present an approach for large medical images database indexing and retrieval using TTA10 algorithm. Our approach consist of primary and secondary tessellation stages, therefore it can be used in computer cluster with parallel multiprocessor architecture. We propose compact index structure, which increases systems scalability and achieves logarithmic complexity. Tree structured index in tree tessellation algorithm v.10 (TTA10) is optimized for balance monitoring and real-time subtree reorganization, avoiding of changes in the structure of the entire tree.
The application of different interpolation algorithms after image decimation, as a precompression or compression stage, is presented. Interframe and intraframe horizontal, vertical, cross and adaptive interpolation, w...
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The application of different interpolation algorithms after image decimation, as a precompression or compression stage, is presented. Interframe and intraframe horizontal, vertical, cross and adaptive interpolation, with and without additional information transmission, are observed in order to minimise the realisation complexity and to achieve the best quality of image restoration.
Biomedical Engineering is a relatively new interdisciplinary science. This paper presents the biomedical engineering activity, which is carried out at Budapest University of Technology and Economics and its partner in...
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Biomedical Engineering is a relatively new interdisciplinary science. This paper presents the biomedical engineering activity, which is carried out at Budapest University of Technology and Economics and its partner institutes. In the first part the main goals and the curriculum of the Biomedical Engineering Education Program (BMEEP) is presented. The second part of the paper summarizes the most important biomedical engineering researches carried out mostly in the Biomedical Engineering Laboratory of our university.
The author has applied a guided scrambling (GS) technique, usually used for a recording channel, to digital watermarking (Kunisa, A., Proc. SPIE: Security and Watermarking of Multimedia Contents, v, 2003). The paper m...
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The author has applied a guided scrambling (GS) technique, usually used for a recording channel, to digital watermarking (Kunisa, A., Proc. SPIE: Security and Watermarking of Multimedia Contents, v, 2003). The paper modifies the GS-based watermarking algorithm to a block-wise watermarking system. It is well suited for compression processing, such as JPEG or JPEG2000, and is readily applied to digital cameras.
In this paper, a multiplexed multiplier architecture (MMA) for a field programmable gate array (FPGA) implementation of the least mean square (LMS) adaptive filter is developed and presented. In the proposed architect...
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In this paper, a multiplexed multiplier architecture (MMA) for a field programmable gate array (FPGA) implementation of the least mean square (LMS) adaptive filter is developed and presented. In the proposed architecture, hardware multipliers are reused, i.e. multiplexed in time, for both filtering and adaptation. The number of multipliers may be chosen to achieve certain design trade-offs. The design trade-offs considered in this paper include on-chip area, filter size, maximum filter throughput, and power consumption.
Most commercial ultrasound machines do not allow the researcher to acquire internal data, modify the signal processingalgorithms or test a new clinical application. A software-based ultrasound machine could offer the...
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Most commercial ultrasound machines do not allow the researcher to acquire internal data, modify the signal processingalgorithms or test a new clinical application. A software-based ultrasound machine could offer the needed flexibility to modify the ultrasound processingalgorithms and evaluate new ultrasound applications for clinical efficacy. We have designed an ultrasound machine in which all of the back-end processing is performed in software rather than in hardware. This programmable machine supports all the conventional ultrasound modes (e.g., B mode, color flow, M mode and spectral Doppler) without any performance degradation. The frame rates and image quality of this programmable machine were evaluated and found to be comparable to commercial ultrasound machines. Due to its programmability, we were able to improve the accuracy of flow velocity estimation by integrating a new clutter rejection filtering method into the system. The machine also supports advanced features such as 3D volume rendering in software. Our results demonstrate that a software-based ultrasound machine can provide the same functionality for clinical use as conventional ultrasound systems while offering increased flexibility at low cost.
A frequent demand for noise suppression in digital hearing aids is speech enhancement in noisy multi-talker conditions. Whereas multi-microphone array-processing techniques employing a stationary or slowly varying dir...
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A frequent demand for noise suppression in digital hearing aids is speech enhancement in noisy multi-talker conditions. Whereas multi-microphone array-processing techniques employing a stationary or slowly varying directivity yield an improvement in intelligibility, binaural noise suppression algorithms using the two signals recorded at the left and right ears have not yet been shown to yield significant benefit in complex acoustical environments. We therefore explore the approach to integrate principles of auditory scene analysis in speech enhancement algorithms. From psychoacoustics it is known that common onsets, common amplitude modulation and sound source direction are among the important cues used for source separation by the human auditory system. However it is largely unknown how the 'binding' of different cues may work. A possible approach to tackle the binding problem is proposed in this paper. A new algorithm is presented, which performs statistical estimation of different sources by a state-space approach, which integrates temporal and frequency-specific features of speech. It is based on a sequential Monte Carlo (SMC) scheme and tracks magnitude spectra and direction on a frame-by-frame basis using binaural signals. This is achieved by integrating empirically measured high-dimensional statistics of speech and directional information from head-related transfer functions. Results for estimating sound source direction of a moving voice and spectral envelopes of two voices are shown. The results indicate that the algorithm is able to localize two superimposed sound sources and separate their spectral envelope on-line with adaption times of about 50 ms, which is much faster than typical blind source separation algorithms.
In this paper we have addressed the problem of adopting in a combined way a genetic algorithm and the Hough transform for implementing an auto tracking method in a video conference system. By applying this method we h...
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In this paper we have addressed the problem of adopting in a combined way a genetic algorithm and the Hough transform for implementing an auto tracking method in a video conference system. By applying this method we have been able to track an object that moves slowly following quite parallel trajectories. The proposed algorithm considers just the shape of the object to be tracked and a priori known as a template, without taking into account other several characteristics of images like colour or texture. Because the implementation of Hough transform is a problem of maximising a function with particular constraints, and each run of evaluating Hough transform is time consuming, in this paper we have adopted a particular genetic algorithm to evaluate the rectangular region in which evaluate the Hough transform. The genetic algorithm used elitistic strategy, fitness sharing, mating restriction, adaptive rate of mutation and adaptive rate of cross-over with a double cross point. Moreover, in this paper, since the evaluation of Hough transform is very time consuming, we have addressed the strategy of dividing the whole scene in different shorter window in order to partition the evaluating load on parallel DSP.
The categorisation of labelling of phytoplankton specimens is carried out manually using microscopes by marine ecologists and taxonomists. Research to automate the task has been on going for many years. Although many ...
The categorisation of labelling of phytoplankton specimens is carried out manually using microscopes by marine ecologists and taxonomists. Research to automate the task has been on going for many years. Although many systems have been shown to work in small-scale laboratory conditions with cultured populations, few have succeeded when applied to field collected specimens. The reasons are diverse, but are principally due to severely degraded performance of the chosen processingalgorithms in the presence of noise and natural morphological variability of the organisms. The application of statistical and neural network pattern learning methods have allowed progress to be made in this difficult area. The machine learning system DiCANN was trained on 128 of the 310 image data set and tested on the 182 samples. This study has highlighted the difficulties facing human ecologists and has shown that automation methods can perform as well as humans on complex categorisations.
This paper presents a novel scheme of wavelet image coding, called X-tree coding. An X-tree is defined as a spatial hierarchical tree whose all descendants are insignificant, and it is used to denote 2-D clustered ins...
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This paper presents a novel scheme of wavelet image coding, called X-tree coding. An X-tree is defined as a spatial hierarchical tree whose all descendants are insignificant, and it is used to denote 2-D clustered insignificant wavelet coefficients of an image. Two new coding schemes, the progressive X-tree approach and the stack X-tree approach, which are the X-tree versions of the embedded zerotree wavelet (EZW) algorithm and the stack-run coding algorithm, respectively, are proposed. Experimental results have shown that the performances of the proposed algorithms are better than those of the stack-run and the EZW algorithms, and are highly comparable to that of the set partitioning in hierarchical trees algorithm. (C) 2002 Elsevier Science B.v. All rights reserved.
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