Feature extraction using pixel-level and object-level analysis

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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Reexamination Certificate

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07933451

ABSTRACT:
Image processing for extracting features in images. Pixel-level cue algorithms can be performed on raster images. The raster images can be converted to a vector layer. Object-level cue algorithms can be performed on the vector layer. The feature can be detected using a result of the pixel-level cues and using a result of the object-level cue algorithms performed. A computer-readable medium can include a first data field containing data representing pixel-level cues functioning to describe a pixel-level cue of the feature. The computer-readable medium can also include a second data field containing data representing object-level cues functioning to describe the object-level cues of the feature. Relation-level cue algorithms can be performed on the vector layers. The features can be detected using a result of any combination of the pixel-level cue algorithms, object-level cue algorithms, and/or relation-level cue algorithms.

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