Labeled bunch graphs for image analysis
First Claim
1. A method for analysis of a feature in an image having an array of pixel positions, comprising the steps of:
- selecting a pixel position in the image associated with the feature;
extracting a jet at the pixel position using wavelet transformations, the jet being represented by a predetermined number of coefficients; and
comparing the extracted jet with a plurality of reference jets, each reference jet being associated through a human assisted process with an attribute label for a particular feature type, to select an attribute label for the feature.
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Abstract
A process for image analysis which includes selecting a number M of images, forming a model graph from each of the number of images, such that each model has a number N of nodes, assembling the model graphs into a gallery, and mapping the gallery of model graphs into an associated bunch graph by using average distance vectors Δij for the model graphs as edge vectors in the associated bunch graph. A number M of jets is associated with each node of the associated bunch graph, and at least one jet is labeled with an attribute characteristic of one of the number of images. An elastic graph matching procedure is performed wherein the graph similarity function is replaced by a bunch-similarity function.
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Citations
13 Claims
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1. A method for analysis of a feature in an image having an array of pixel positions, comprising the steps of:
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selecting a pixel position in the image associated with the feature;
extracting a jet at the pixel position using wavelet transformations, the jet being represented by a predetermined number of coefficients; and
comparing the extracted jet with a plurality of reference jets, each reference jet being associated through a human assisted process with an attribute label for a particular feature type, to select an attribute label for the feature. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for analysis of features in an image having an array of pixel positions, comprising the steps of:
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selecting pixel positions in the image corresponding to nodes of a graph, each node for analyzing a local feature in the image;
extracting a jet at each selected pixel position using wavelet transformations, each jet being represented by a predetermined number of coefficients; and
comparing each of the extracted jets with a plurality of reference jets, each reference jet being associated through a human assisted process with an attribute label for a particular local feature type, to select an attribute label for each local feature associated with a node of the graph. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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Specification