A mathematical model and computer simulation, presented in a previous publication, of the optics of differential-interference-contrast (DIC) microscopy (DICM) is extended to consider the effects of stochastic noise. I...
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A mathematical model and computer simulation, presented in a previous publication, of the optics of differential-interference-contrast (DIC) microscopy (DICM) is extended to consider the effects of stochastic noise. images resulting from this simulation indicate that, even in the presence of a significant level of noise, the resolution and detail of objects can be much improved with a proposed image-restoration algorithm. Thus the feasibility of superresolution with DICM in the presence of noise is supported.
The unifying framework of the spectral-correlation theory of cyclostationary signals is used to present a broad treatment of weak, random signal detection for interception purposes. The relationships among a variety o...
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The unifying framework of the spectral-correlation theory of cyclostationary signals is used to present a broad treatment of weak, random signal detection for interception purposes. The relationships among a variety of previously proposed ad hoc detectors, optimum detectors, and newly proposed detectors are established. The spectral-correlation-plane approach to the interception problem is put forth as especially promising for detection, classification, and estimation in particularly difficult environments involving unknown and changing noise levels and interference activity. A fundamental drawback of the popular radiometric methods in such environments is explained.< >
In this paper we investigate the computational performance of a number of morphological skeletons. We also develop the reduced-cardinality geometric-step morphological skeleton which is shown to achieve logarithmic co...
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We present a scheme of extracting edge information from parallel spatial frequency bands. From these we create an integrated image of most significant edges of different scales. The frequency bands are realized using ...
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This paper describes a method for computing Gaussian and mean curvature maps from range data and a modification to this method aimed at facilitating its implementation as a VLSI circuit. The curvature computations con...
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This paper summarizes the design of a convolution processor card that is very low in cost, easy to use and most importantly, performs a 9 × 9 convolution in less than a second. Its high-performance is attributed ...
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The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial...
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The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial case of a general Gibbs random field, whereas the second random field, the semi-Markov random field is a non-Markovian generalization of a mutually compatible Gibbs random field.< >
Presents a unified theory for the description of Gibbs images that allows one to answer some very important theoretical and practical questions about their statistical behavior. The author first introduces the local t...
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Presents a unified theory for the description of Gibbs images that allows one to answer some very important theoretical and practical questions about their statistical behavior. The author first introduces the local transfer function and derives the Gibbs measure in terms of this function. He restricts the derived probability structure to satisfy the property of mutual compatibility thus resulting in the subclass of mutually compatible Gibbs images. The author reviews their properties and briefly discusses various issues related to their simulation and identification. Simulation results from the area of texture analysis and synthesis are presented, in order to demonstrate various aspects of the theory.< >
Cardiac function is often evaluated quantitatively using two-dimensional echocardiography to analyze shape attributes, such as the heart wall thickness or the shape change of the heart wall boundaries. A review of pre...
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Cardiac function is often evaluated quantitatively using two-dimensional echocardiography to analyze shape attributes, such as the heart wall thickness or the shape change of the heart wall boundaries. A review of previous work in detecting the heart wall boundaries is presented, along with how this problem can be viewed from a computervision perspective. The principles of echo image sequence analysis and high-level analysis are described. It is suggested that one promising approach is to use multiple-resolution processing by using a large window smoothed image for the initial detection of major edge segments, followed by smaller and smaller windows until a complete boundary is found.< >
The basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into opti...
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The basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into optimal localized frequency operators, the so-called Gabor elementary functions which minimize the uncertainty inherent in image representation, is accordingly proposed. Applications to size-invariance and object-separable pattern analysis, localized texture discrimination, and representation by partial information are discussed, illustrating the advantages of the Gabor transform.< >
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