Image classification and search
First Claim
1. A method classifying an image comprising the steps of:
- determining a plurality of simple feature descriptors based upon characteristics of the image;
grouping simple feature descriptors into complex features wherein the simple feature descriptors are grouped based upon orientation;
grouping end-stopped complex feature descriptors and complex feature descriptors at multiple orientations into hypercomplex feature descriptors;
generating a hypercomplex resonant feature descriptor cluster by linking pairs of hypercomplex feature descriptors;
performing feature hierarchy classification by adaptive resonance on feature descriptors; and
generating classifier metadata associated with the image.
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Abstract
An electronic image classification and search system and method are provided. Images are processed to determine a plurality of simple feature descriptors based upon characteristics of the image itself. The simple feature descriptors are grouped into complex features based upon the orientation of the simple feature descriptors. End-stopped complex feature descriptors and complex feature descriptors at multiple orientations are grouped into hypercomplex feature descriptors. Hypercomplex resonant feature descriptor clusters are generated by linking pairs of hypercomplex feature descriptors. Feature hierarchy classification can then be performed by adaptive resonance on feature descriptors and classifier metadata associated with the image can then be generated to facilitate indexing and searching of the image within a hierarchical image database.
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Citations
19 Claims
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1. A method classifying an image comprising the steps of:
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determining a plurality of simple feature descriptors based upon characteristics of the image; grouping simple feature descriptors into complex features wherein the simple feature descriptors are grouped based upon orientation; grouping end-stopped complex feature descriptors and complex feature descriptors at multiple orientations into hypercomplex feature descriptors; generating a hypercomplex resonant feature descriptor cluster by linking pairs of hypercomplex feature descriptors; performing feature hierarchy classification by adaptive resonance on feature descriptors; and generating classifier metadata associated with the image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for image classification and searching comprising:
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a processor; a memory containing instructions for; a feature extractor module for; determining a plurality of feature descriptors based upon characteristics of the image; grouping feature descriptors into complex features wherein the feature descriptors are grouped based upon orientation; grouping end-stopped complex features and complex features at multiple orientations into hypercomplex features; generating a hypercomplex resonant feature cluster by linking pairs of hypercomplex features; a resonant classifier module for; performing feature hierarchy classification by adaptive resonance on feature descriptors; generating feature image classifiers based upon the adaptive resonance classifiers; an indexing module for indexing the image within the classifier hierarchy; a storage device containing an image database comprising; classifier metadata associated with images; indexing data comprising image location data. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A system for image classification and searching comprising:
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a processor; a memory containing instructions comprising; determining a plurality of simple feature descriptors based upon characteristics of the image; grouping simple feature descriptors into complex features wherein the simple feature descriptors are grouped based upon orientation; grouping end-stopped complex feature descriptors and complex feature descriptors at multiple orientations into hypercomplex feature descriptors; generating a hypercomplex resonant feature descriptor cluster by linking pairs of hypercomplex feature descriptors; performing feature hierarchy classification by adaptive resonance on feature descriptors; and generating classifier metadata associated with the image.
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19. A non-transitory computer readable medium containing instructions for image classification, the instructions which when executed on a processor perform the steps of:
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determining a plurality of simple feature descriptors based upon characteristics of the image; grouping simple feature descriptors into complex feature descriptors wherein the simple feature descriptors are grouped based upon orientation; grouping end-stopped complex feature descriptors and complex feature descriptors at multiple orientations into hypercomplex feature descriptors; generating a hypercomplex resonant feature descriptor cluster by linking pairs of hypercomplex feature descriptors; performing feature hierarchy classification by adaptive resonance on feature descriptors; and generating classifier metadata associated with the image.
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Specification