This paper reports on our experience with setting up and analyzing clinical validation studies for new or improved medical imageprocessingalgorithms. This is illustrated with two specific examples: (1) clinical vali...
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This paper reports on our experience with setting up and analyzing clinical validation studies for new or improved medical imageprocessingalgorithms. This is illustrated with two specific examples: (1) clinical validation of a motion correction algorithm to improve the image quality of digital subtraction angiography (DSA) imaging and (2) clinical validation of an overview image reconstruction algorithm for translated X-ray image sequences (bolus chase reconstruction, spine imaging, colon image map or leg bone imaging).
I present performance measurements for some compute- and communications-intensive imageprocessing tasks required by an object recognition application. The application was implemented as a task farm on a network of tr...
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I present performance measurements for some compute- and communications-intensive imageprocessing tasks required by an object recognition application. The application was implemented as a task farm on a network of transputers, which still are one of the cleanest and best-balanced building blocks for parallel systems. I report on relevant properties of the basic algorithms the application is comprised of;some relevant details of the task farm software;performance measurements on a range of system sizes for tasks of very different granularity and characteristics (including broadcast of global data) with measured loads on processors and communications links;and the detrimental effects on performance of hardware variants that increase communications latency and reduce available bandwidth. The measurements show that for some of the imageprocessing tasks, the transputer system is "on the edge" with respect to available bandwidth and latency. Some possible improvements to the communications infrastructure are discussed in light of these results. Finally, current approaches to affordable parallel computing, such as networks or clusters of workstations, are put into perspective by comparing them with the transputer system, using computation/communication balance as a figure of merit for the comparison. This shows that for current microprocessors, even their pin bandwidth is not sufficient to sustain equivalent (scaled) performance for this typical imageprocessing application;any multiprocessor system built with current networking hardware is so unbalanced compared to the transputer system that it will be severely limited by communications bandwidth and latency. (C) 1999 Elsevier Science B.v. All rights reserved.
Fuzzy inference ruled by else-action (FIRE) operators are a class of nonlinear operators which process image data by using fuzzy reasoning. The latest developments in the field of FIRE operators are presented in this ...
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Fuzzy inference ruled by else-action (FIRE) operators are a class of nonlinear operators which process image data by using fuzzy reasoning. The latest developments in the field of FIRE operators are presented in this work focusing on two very important research and application areas: nonlinear filtering of noisy images and edge detection. First, a new family of filters for images corrupted by impulse noise is presented. Due to the adoption of piecewise linear fuzzy sets, the proposed approach is able to combine noise cancellation and detail preservation. A method for automatic generation of the fuzzy rulebase using the Genetic algorithms is also presented. Then, a new class of noise-protected operators for edge detection is proposed. By suitably choosing fuzzy sets and fuzzy aggregation mechanism, these operators are able to detect edges in images corrupted by different noise distributions. Many experimental results are reported showing that the proposed operators perform significantly better than other techniques in the literature. (C) 1999 Elsevier Science B.v. All rights reserved.
The SKIPSM (Separated-Kernel imageprocessing using finite-State Machines) paradigm offers fast execution of a very wide range of binary, grey-scale, 3-D, and color image-processing applications. In this paper the fin...
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The SKIPSM (Separated-Kernel imageprocessing using finite-State Machines) paradigm offers fast execution of a very wide range of binary, grey-scale, 3-D, and color image-processing applications. In this paper the finite-state-machine approach is applied to one of the `classical' problems of binary imageprocessing: connected-component analysis (`blob' analysis'). Execution-time results are presented, and compared for several examples to execution times for the very-efficient conventional method based on analysis of run-length-encoded data.
This paper presents an end-to-end system for reading handwritten page images. Five functional modules included in the system are introduced in this paper: (i) pre-processing, which concerns introducing an image repres...
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Tree matching is an important problem used for three-dimensional object recognition in image understanding and vision systems. The objective of tree matching is to find the set of nodes at which a pattern tree matches...
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Tree matching is an important problem used for three-dimensional object recognition in image understanding and vision systems. The objective of tree matching is to find the set of nodes at which a pattern tree matches a subject tree, In this paper, we describe the design and implementation of a very large scale integration (vLSI) chip for tree pattern matching. The architecture is based on an iterative algorithm that is mapped to a systolic array computational model and takes O(t(n + a)) time to process a subject of size n using n processors where a is the length of the largest substring in the pattern and t is the number of substrings in the pattern. The variables and nonvariables of the pattern tree are processed separately, which simplifies the hardware in each processing element, The proposed partitioning strategy is independent of the problem size and allows larger strings to be processed based on the array size, A prototype CMOS vLSI chip has been designed using the Cadence design tools and the simulation results indicate that it will operate at 33.3 MHz.
A demand on fast imageprocessing and multilevel pattern recognition systems exists in different spheres of science, techniques and production. A specialised video processor 'NEURON-vP100' for IBM compatible P...
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A demand on fast imageprocessing and multilevel pattern recognition systems exists in different spheres of science, techniques and production. A specialised video processor 'NEURON-vP100' for IBM compatible PC applications, capable of performing 'classical' imageprocessingalgorithms such as scaling, filtering, Fourier transforms and neural nets based pattern recognition tasks as well is presented. Several examples of video processor applications for finger prints, particle tracks, laser images 'intellectual' processing are shown.
algorithms were developed to eliminate nonparametric indeterminancy in radar images processing. The experimental verification of these algorithms on an information provided by airborne SAR 'Compact' showed the...
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algorithms were developed to eliminate nonparametric indeterminancy in radar images processing. The experimental verification of these algorithms on an information provided by airborne SAR 'Compact' showed the effectiveness of their application for improvement of a SAR equipment and evaluation of its resolution at the flight test image.
Simulations of classical molecular dynamic (MD) systems can be sped up considerably by parallelizing the existing codes for distributed memory machines, In classical MD the CPU time is typically a function of the squa...
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Simulations of classical molecular dynamic (MD) systems can be sped up considerably by parallelizing the existing codes for distributed memory machines, In classical MD the CPU time is typically a function of the square of the number of atoms, The size of the molecular system which can be solved is therefore often limited by the CPU available. There are different approaches for reducing computation time, One consists in parallelizing sequential O(N-2) algorithms. The other is replacing the calculation of non-bonding forces by a less complex algorithm which can then be parallelized. We have generated a code (MEGADYN) for the simulation of MD of large simulation ensembles (up to 10(6) atoms) on the basis of classical force field methods, A reduction of complexity of the calculation of forces and energy down to O(N) was achieved by employing Greengards fast multipole method (FMM) to the Coulomb interaction. Within the framework of FMM the periodic boundary conditions are realized in a minimum image convention type manner. Thus MEGADYN can be used to simulate NvT as weil as NPT ensembles. (C) 1999 Elsevier Science B.v. All rights reserved.
We show how to achieve better illumination estimates for color constancy by combining the results of several existing algorithms. We consider committee methods based on both linear and non-linear ways of combining the...
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We show how to achieve better illumination estimates for color constancy by combining the results of several existing algorithms. We consider committee methods based on both linear and non-linear ways of combining the illumination estimates from the original set of color constancy algorithms. Committees of grayworld, white patch and neural net methods are tested. The committee results are always more accurate than the estimates of any of the other algorithms taken in isolation.
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