It is shown how homomorphisms between arrangements which are labeled N-ary relations, are the natural solutions to some problems requiring the integration of low level and high level information. Examples are given fo...
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It is shown how homomorphisms between arrangements which are labeled N-ary relations, are the natural solutions to some problems requiring the integration of low level and high level information. Examples are given for problems in point matching, graph isomorphism, scene labeling, and spectral temporal classification of remotely sensed agricultural data. Characterization and representation theorems are developed for N-ary relation homomorphisms and the authors develop an algorithm consisting of a discrete relaxation method combined with a depth first search to find such homomorphisms.
The detection of cancer in gynecologic cytology specimens is being studied using data analyzed with a flowmicrofluorometer. The amount of two fluorescent dyes present in each cell, for a large number of cells, is meas...
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The detection of cancer in gynecologic cytology specimens is being studied using data analyzed with a flowmicrofluorometer. The amount of two fluorescent dyes present in each cell, for a large number of cells, is measured for each sample. The resulting histogram of counts for each combination of fluorescences can best be visualized with contour maps. Statistical parameters are extracted from this data and used as features for pattern classification of samples as positive or negative. First results show an overall success rate of 80% and a false negative rate of 10%.
TEXAC (TEXture Analysis computer) is an auxiliary computer capable of performing whole picture operations at the television ″frame grabbing″ rate of 1/30th of a second. The results of TEXAC operations are displayed ...
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TEXAC (TEXture Analysis computer) is an auxiliary computer capable of performing whole picture operations at the television ″frame grabbing″ rate of 1/30th of a second. The results of TEXAC operations are displayed continuously on both color and black-and-white television monitors. The TEXAC hardware and software systems are described and some applications of the TEXAC whole picture operations are illustrated.
A new edge detector is described which operates on groups of only four pixels to estimate the angle at which an edge passes through the group without exhibiting directional preference. The pixels with maximum and mini...
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A new edge detector is described which operates on groups of only four pixels to estimate the angle at which an edge passes through the group without exhibiting directional preference. The pixels with maximum and minimum gray levels are used to estimate edge sharpness while the nonextreme gray level pixels are used to estimate edge angle. Resulting vectors are thresholded both by magnitude and by similarity of angle to neighboring vectors. The vector formulations should be useful for edge linking and for segmentation.
A semi-tutorial review of the state of the art in cluster validity is presented. The scope of the cluster validity problem includes measuring the tendency of the data to cluster as well as evaluating the ″significanc...
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A semi-tutorial review of the state of the art in cluster validity is presented. The scope of the cluster validity problem includes measuring the tendency of the data to cluster as well as evaluating the ″significance″ of the clusters obtained from clustering algorithms. Various structural considerations required for a unified study of cluster validity problems are presented. A thorough literature review classifies existing work on cluster validity according to several factors. Recent interest in the development of new clustering techniques and their application necessitates a vigorous research program in cluster validity.
The feasibility of invariant moment measurements as a means of scene representation is presented. These invariant measurements have been derived by using the results of invariant algebra. Two-dimensional spatial momen...
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The feasibility of invariant moment measurements as a means of scene representation is presented. These invariant measurements have been derived by using the results of invariant algebra. Two-dimensional spatial moments and seven invariants are derived for a particular scene and the validity of invariant properties of the moment invariants is developed. The significance of the results is based on the fact that moments provide a general method for representation of complex scenes and that measurements can be derived which have invariant properties with respect to size, translation, rotation, and other transformations.
The innovative concept of deploying more than one type of classifier within a single problem domain is explored in this study to achieve enhanced recognition system performance. The domain of deployment of the individ...
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The innovative concept of deploying more than one type of classifier within a single problem domain is explored in this study to achieve enhanced recognition system performance. The domain of deployment of the individual types of classifiers is determined through optimal partitioning of the problem space. An illustrative case in terms of partitioning of the feature space for optimal deployment of the linear and nearest neighbor classifiers is presented to exemplify this concept and bring out the possible benefits one could expect through such multi-type classifier system design.
Subjective histologic criteria for the differential grading of tumors of the epithelium of the human urinary bladder have been given quantitative explication in the interactive picture processing and decision-making s...
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Subjective histologic criteria for the differential grading of tumors of the epithelium of the human urinary bladder have been given quantitative explication in the interactive picture processing and decision-making system, PEEP/DECIDE/GRAPH. These criteria have been shown to be consistent with cytology and survival. Two tissue sections, differing in visual appearance, were stained with hematoxylin to render nuclear detail with high contrast, and were scanned at 570nm, 630X and 0. 5 resolution. The two tissues were characterized by nuclear absorbance (hyperchromasia), nuclear density, and distribution of angular nuclear orientation.
The application of statistical patternrecognition to problems faced by designers of ballistic missile defensive and offensive systems is described. These two applications have many common characteristics, the most im...
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The application of statistical patternrecognition to problems faced by designers of ballistic missile defensive and offensive systems is described. These two applications have many common characteristics, the most important ones being that they deal with similar data bases and that there is no prior knowledge of the probability density functions of each target class. In most cases, the dimensionality of the signature density functions is much greater than ten and the density functions are irregular. The major emphasis in this work is on the design of parametric and nonparametric classifiers that perform well under these stressing conditions.
A 2-dimensional image model is formulated using a seasonal autoregressive time series. With appropriate use of initial conditions, the method of least squares is used to obtain estimates of the model parameters. The m...
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A 2-dimensional image model is formulated using a seasonal autoregressive time series. With appropriate use of initial conditions, the method of least squares is used to obtain estimates of the model parameters. The model is then used to regenerate the image. Results obtained indicate this method could be used to code textures for high compression. A differential pulse code modulation (DPCM) scheme is also investigated as a means of archival storage of images.
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