The objective of this work is to create an algorithm that will generate a table of colors with maximum contrast among the colors. An algorithm for color generation is developed using as parameters the total number of ...
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The objective of this work is to create an algorithm that will generate a table of colors with maximum contrast among the colors. An algorithm for color generation is developed using as parameters the total number of colors to be produced, the number of colors to be grouped for maximum intra-group contrast, the number of saturation levels, and an arbitrary rotation of the selected colors preserving all the other relationships. The Hering opponent color theory restricted to the red-green and blue-yellow dimensions yields a two-dimensional color model which is used as the basis of the color selection process.
Nuclear medicine is a speciality which attempts to measure in-vivo the biochemical and physiological processes of the human body in a non-invasive manner. This paper discusses numerical analysis and pattern recognitio...
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Nuclear medicine is a speciality which attempts to measure in-vivo the biochemical and physiological processes of the human body in a non-invasive manner. This paper discusses numerical analysis and patternrecognition methods in clinical and image research as employed in nuclear medicine.
New and useful results on multistage multiclass statistical classification and on model-driven, data-directed structural pattern analysis have been obtained by developing and exploiting connections between state-space...
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New and useful results on multistage multiclass statistical classification and on model-driven, data-directed structural pattern analysis have been obtained by developing and exploiting connections between state-space and AND/OR graph models, formal grammars, heuristic search and probabilistic decision making. This paper highlights the concepts and connections which have led to these results.
A solution is given to the linear discrimination problem for more than two statistical classes, using a Generalized Fisher Criterion as distance measure. With the use of linear manifold subspace and decomposition of t...
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A solution is given to the linear discrimination problem for more than two statistical classes, using a Generalized Fisher Criterion as distance measure. With the use of linear manifold subspace and decomposition of the optimization problem into a union of simple convex constrained ones, a closed form solution for the optimal X is attained, and no numerical optimization techniques are needed.
This paper discusses a structural patternrecognition methodology which combines some ideas about relation homomorphisms and theory of covers. Features from any arrangement are determined by calculating to which basis...
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This paper discusses a structural patternrecognition methodology which combines some ideas about relation homomorphisms and theory of covers. Features from any arrangement are determined by calculating to which basis arrangements the given arrangement is a homomorphism and calculating which basis arrangements are isomorphic to some part of the given arrangement. A decision rule then decides which class the given arrangement is assigned using the theory of covers. The methodology suggested in the paper provides an alternative to syntactic patternrecognition.
An algorithm to find linear representations of images is developed such that the obtained straight lines are optimal in the Hausdorff metric. This algorithm avoids the computational difficulties associated with direct...
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An algorithm to find linear representations of images is developed such that the obtained straight lines are optimal in the Hausdorff metric. This algorithm avoids the computational difficulties associated with direct application of the definition of the Hausdorff distance between point sets.
An approach to machine recognition and understanding of pictures via textural feature extraction is presented. Gradient distribution matrices are used to obtain numerous textural measurements. Based upon Karhunen-Loev...
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An approach to machine recognition and understanding of pictures via textural feature extraction is presented. Gradient distribution matrices are used to obtain numerous textural measurements. Based upon Karhunen-Loeve expansion and normalization, textural features are extracted by computer from these measurements. The textural features serve as the basis for machine recognition and understanding of pictures.
This paper explores several approaches to outlining point clusters in the plane in a visually acceptable way consistent with capturing shape attributes which may have application in patternrecognition and scene analy...
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This paper explores several approaches to outlining point clusters in the plane in a visually acceptable way consistent with capturing shape attributes which may have application in patternrecognition and scene analysis. Both line and region oriented methods are discussed and the strengths and weaknesses of each explored. General comments are made on the nature of the problem and the duality relationship between line and region representations. A variety of examples are offered for subjective evaluation.
Several methods for estimating a sample-based discriminant's probability of correct classification are compared with respect to bias, variance, and robustness. ″Smooth″ modification of the counting method, or sa...
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Several methods for estimating a sample-based discriminant's probability of correct classification are compared with respect to bias, variance, and robustness. ″Smooth″ modification of the counting method, or sample success proportion, is recommended to reduce bias while retaining stability and robustness. In contrast, the popular ″leave-one-out″ technique is a counting method whose bias reduction is vitiated by corresponding increase in variance.
An algorithm for constructing regions from their list of boundary points is presented. Both adjacency and containment of regions can be handled. The construction is based on a small set of boundary types which determi...
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An algorithm for constructing regions from their list of boundary points is presented. Both adjacency and containment of regions can be handled. The construction is based on a small set of boundary types which determine the labelling of interior points. All regions are processed together so that time and storage requirements are minimized.
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