CIBC:Documentation:SCIRun:Reference:Teem:UnuCmedian
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UnuCmedian
Information
- Package: Teem
- Catagory: UnuAtoM
- Author(s): Martin Cole
- Status: Supported in latest version
- Version: 3.0
Description
Summary
Cheap histogram-based median filtering
Detailed Description
Cheap histogram-based median filtering. Only works on 1, 2, or 3 dimensional data. The window over which filtering is done is always square, and only a simplistic weighting scheme is available. The filtering works by forming a histogram of the values in the window, and updating it as the window slides through the volume. Because of this histogramming, precision will be lost on anything other than 8-bit data (assuming a sane # bins). Also, this is "cheap" because it doesn't do any filtering on the border (as defined by radius). values at these locations are simply copied from input.
The filter is applied as if there were always scalars. For example if you have a Vector set along the first dimension, then your Vectors x component is in the first position, y the second, z the third along the tuple axis. Each component gets the filter applied independently.
Frequently Asked Questions
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