MinFilter
MinFilter[data,r]
filters data by replacing every value by the minimum value in its range-r neighborhood.
MinFilter[data,{r1,r2,…}]
uses ri for filtering the dimension in data.
Details
- MinFilter is a nonlinear filter commonly used to locally smooth data and diminish salt-like noise, where the amount of smoothing is dependent on the value of r.
- The function applied to each range-r neighborhood is Min.
- The data can be any of the following:
-
list arbitrary-rank numerical array tseries temporal data such as TimeSeries, TemporalData, … image arbitrary Image or Image3D object audio an Audio object - For multichannel images, MinFilter replaces each pixel by a pixel in its neighborhood that has the minimum total intensity, averaged over all channels.
- MinFilter[data,{r1,r2,…}] computes the minimum value in blocks centered on each sample.
- MinFilter assumes the index coordinate system for lists and images.
- At the data boundaries, MinFilter uses smaller neighborhoods.
Examples
open allclose allBasic Examples (3)
Scope (12)
Applications (3)
Properties & Relations (2)
For single-channel images, MinFilter is the same as ImageFilter with function Min:
For single-channel images, MinFilter is the same as Erosion with a box structuring element:
Text
Wolfram Research (2008), MinFilter, Wolfram Language function, https://reference.wolfram.com/language/ref/MinFilter.html (updated 2016).
CMS
Wolfram Language. 2008. "MinFilter." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2016. https://reference.wolfram.com/language/ref/MinFilter.html.
APA
Wolfram Language. (2008). MinFilter. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/MinFilter.html