Re: about min max filters?
- From: Jerry Avins <jya@xxxxxxxx>
- Date: Sat, 20 Dec 2008 18:55:12 -0500
dbd wrote:
On Dec 19, 10:16 pm, "Fred Marshall" <fmarshallx@xxxxxxxxxxxxxxxxxxxx>
wrote:
dbd wrote:
...
Yes, but that task does not determine the frequency response of an LTIActually it does if you are willing to define a single filter based on a
filter but of a filter and particular data set.
single data set. Then, that one filter can be analyzed for arbitrary data.
The fact that you don't *intend* to apply that one filter to but one data
set is something you decide to do with it - but has nothing to do with your
ability to analyze the filter.
In a way, this is a "partitioning" of the question.
Now, I know that this perspective may deviate from the mathematical
expression that resulted in the filter in the first place. That is likely a
sticking point.
The sticking point is that the filter is not LTI so the analysis does
not give the properties of an LTI filter and one can't make the usual
assumptions that go along with linear time invariance.
This is not a strong argument. Just an observation. The observation leads
to an ability to analyze families of LTI filters that could lead to useful
insight - and that part is data / application dependent as Tim mentioned.
That is not a strong argument. Just an observation in error when
claiming a provide to linear time invariant analysis. Analysis with
relevant data sets may be worthwhile, just not LTI in this case.
Fred
Dale B. Dalrymple
Has anyone checked out the images in http://idlastro.gsfc.nasa.gov/idl_html_help/Eroding_and_Dilating_Image_Objects.html et seq? Erosion followed by dilation is called "opening". Dilation followed by erosion is called "closing". These processes are used with both gray-scale and binary images. (Building an engine to miorphologically process real-time video with a 7x7 kernel was my first Xylinx project. We got 98% CLB utilization with hand layout.)
Jerry
--
Engineering is the art of making what you want from things you can get.
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