Digital Signal Processing Reference
In-Depth Information
Lines, edges and ridges.
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Localized interest points such as corners, blobs or points.
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More complex features may be related to texture, shape or motion.
Detection/segmentation
: At some point in the processing a decision is made
about which image points or regions of the image are relevant for further
processing. Examples are
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Selection of a specific set of interest points
Segmentation of one or multiple image regions which contain a specific
object of interest.
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High-level processing
: At this step the input is typically a small set of data, for
example a set of points or an image region which is assumed to contain a specific
object. The remaining processing deals with, for example:
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Verification that the data satisfy model-based and application specific
assumptions.
Estimation of application specific parameters, such as object pose or
object size.
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Image recognition: classifying a detected object into different categories.
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Image registration: comparing and combining two different views of the
same object.
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