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Suppose, I need to construct a Band-pass filter in OpenCV. But, I know, there are no functions in OpenCV for Band-pass filters.

Now, what I need to do is to have a low-pass filter and a high-pass filter and combine them as a series. That is, first, the image would be passed through a low-pass filter and then the output of that low-pass filter would be passed to a high-pass filter.

Am I correct?

Now, what kind of low and high pass filters should I use? Would they be,

  • Gassian low/high pass filters
  • Mean low/high pass filters
  • Median low/high pass filters
  • Sobel filters
  • or, anything else...
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Yes you are correct. You apply them if series in they are linear.

One simple band-pass filter you could use is called the difference of Gaussian (DoG)

The procedure is:

  1. Create a Gaussian filter with a small variance
  2. Create a Gaussian filter with a large variance
  3. Subtract the latter from the former to create a band-pass filter
  4. Apply the filter to the image

There are a lot of different filters to choose from depending on the application. A good paper is "On the choice of band-pass quadrature filters" by Boukerroui, Noble and Brady. It has an analysis of the DoG filter as well.

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  • $\begingroup$ stackoverflow.com/questions/26832557/… Do "Band-pass" and "Band-stop" mean same things? $\endgroup$ – user18425 Jun 11 '16 at 12:01
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    $\begingroup$ No, band stop is the reverse of the band pass. That is, it attenuates a range of frequencies rather than amplifying them. High pass followed by low pass (with Fhigh<Flow) would result in bandpass. Highpass in parallel with Lowpass (with FHigh>Flow) would result in band stop. $\endgroup$ – A_A Jun 11 '16 at 16:48

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