In this paper we discuss issues in real-time image processing, including applications, approaches, and hardware. In particular, we discuss the failure of existing programming languages to support these considerations,...
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In this paper we discuss issues in real-time image processing, including applications, approaches, and hardware. In particular, we discuss the failure of existing programming languages to support these considerations, and present requirements for any language that can support real-time image processing.
In this paper we discuss synchronization techniques-and specifically their implementation at the hardware, operating system and high-level language levels-that can be used to achieve deadline satisfaction. In particul...
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In this paper we discuss synchronization techniques-and specifically their implementation at the hardware, operating system and high-level language levels-that can be used to achieve deadline satisfaction. In particular, it is shown that by endowing process control computers with fully parallel input and output mechanisms making use of exact time specifications, synchronization and deadline satisfaction can be achieved at the same time without any jitter. Continuous multimedia applications require accurate synchronization of the clocks in different processors. The available solutions have considerable accuracy or applicability. Local clock synchronization by radio transmitted time information turns out to be the only general purpose and high accuracy technique that is applicable with reasonable effort.< >
Effects of membrane channel noise (random opening and closing of ion channels) are studied on spike conduction at a branching point on an axon. computer simulation is done on the basis of a stochastic version of the H...
Effects of membrane channel noise (random opening and closing of ion channels) are studied on spike conduction at a branching point on an axon. computer simulation is done on the basis of a stochastic version of the Hodgkin-Huxley cable model, into which the channel noise is incorporated. It is shown that the channel noise makes conduction of spikes into daughter branches random;spikes randomnly succeed or fail in conduction into daughter branches. The conduction is then randomly differential even though the forms and properties of daughter branches are the same. The randomness is considerable when the radius of an axon is small (approximately l mum).
Effects of membrane noise on spike propagation on a nerve fiber are studied on the basis of a stochastic version of the FitzHugh-Nagumo model. The noise varies the propagation speeds of spikes and thus changes the int...
Effects of membrane noise on spike propagation on a nerve fiber are studied on the basis of a stochastic version of the FitzHugh-Nagumo model. The noise varies the propagation speeds of spikes and thus changes the interspike intervals of a spike train during propagation. A kinematic description of spike propagation derives expressions for the changes in the interspike intervals. It is shown that the dispersion relation causes the correlation of the interspike intervals characteristic of a spike train propagating in the refractory period.
In this paper we discuss a possible use of camera translation to separate diffuse and specular component of image irradiance. For a moving observer specular reflection appears to "slide" on the object surfac...
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An input-output relation of a neuron model consisting of two FitzHugh-Nagumo elements coupled through resistance is studied. An experiment on an analog circuit and computer simulation show that the firing rate of the ...
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The properties of soft morphological operations and the new definitions of binary soft morphological operations are presented. It is shown that soft morphological filtering on an arbitrary signal is equivalent to deco...
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The properties of soft morphological operations and the new definitions of binary soft morphological operations are presented. It is shown that soft morphological filtering on an arbitrary signal is equivalent to decomposing the signal into binary signals, filtering each binary signal with a binary soft morphological filter, and then reversing the decomposition. This equivalence allows problems in the analysis and the implementation of soft morphological operations in real time by using only logic gates for binary signals instead of sorting numbers.< >
This paper presents a new regional labeling algorithm version based on raster-scan pipeline processing. It is aimed at a hardware implementation that can continuously process images at TV video rates. First, the autho...
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This paper presents a new regional labeling algorithm version based on raster-scan pipeline processing. It is aimed at a hardware implementation that can continuously process images at TV video rates. First, the author describes the (previously reported) fundamental algorithm. The characteristic of the algorithm is that when it writes labels on pixels of the current row, it always renews labels of the immediately preceding row while raster scanning and that it unifies the label linkage information at every row. He discusses the problem of when this row-by-row unification has to be done. As a solution, he proposes a new version that writes labels on two rows at every two rows. This can save enough time for the subunification of emergent two rows labels. Thus, it takes O(n) time for the total label unification after the final row of the input image, where n is the whole number of the labels. He also includes a fast subunification method without label sorting.< >
An input-output relation of a neuron model consisting of two FitzHugh-Nagumo elements coupled through resistance is studied. An experiment on an analog circuit and computer simulation show that the firing rate of the ...
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An input-output relation of a neuron model consisting of two FitzHugh-Nagumo elements coupled through resistance is studied. An experiment on an analog circuit and computer simulation show that the firing rate of the neuron is a nonmonotonic function of the period of stimulus pulses when the coupling is weak. The nonmonotonicity in the firing rate is due to the transmission failure of pulses between the elements.< >
Basins of attraction of local minima in the XOR problem in a backpropagation neural network are shown with computer simulation. The basins have complex shapes in spite of a simple architecture of the network.
Basins of attraction of local minima in the XOR problem in a backpropagation neural network are shown with computer simulation. The basins have complex shapes in spite of a simple architecture of the network.
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