How to remove the background/background noise from the images that comprise my video?
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Hi,
I have a video in which a cell moves along a channel...however, the background i.e. the channel is near the brightness of that of my cell, so when I convert the video into images of its frames, and turn them into grayscale images, I cannot isolate the cell from its background very clearly, though I can faintly see it move against the background.
I tried frame subtraction..after subtracting the first frame that does not contain the cell from the remaining, I still get a lot of background noise. *Thus, when I try locating the cell by trying to identify the maximum brightness spot, *I get the locations of different other points with the greater brightness than the cell.
Can you suggest what I can do?
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Image Analyst
2011-11-3
You can get a fairly comprehensive overview of several of the main noise removal techniques here: http://www.stanford.edu/~slansel/tutorial/software.htm The methods the web page discusses are generally thought of as the best, state of the art methods, from among thousands that have been invented and more that are invented every month.
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Image Analyst
2011-11-2
I'd suggest you post a few frames of your video somewhere so people can make informed suggestions.
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Bjorn Gustavsson
2011-11-3
In addition to medfilt2, you can also play around with wiener2 (Lee's sigma filter). Then there are a bunc of filter functions on the file exchange. One that I'd suggest you could try is bilateral or susan filters, there are a couple of those. Then there is a few nonlinear diffusion filters - they are really fancy and powerful but might be on the slow side when it comes to filtering a large number of frames. These two types of "more advanced" filters are my favourites outside of medfilt2 and wiener2, but tastes might vary.
Another point you might have to take into account (couldn't see your images so I'm really shooting in the dark here) is that you might have photo-respons non-uniformities - pixel-to-pixel variation in sensitivity. That is something you might be able to correct for by calculating the average of the ratio between medfilt2(frame,[5,5])./frame over all frames. That might give you a correction factor for PRNU, that might make filtering easier.
Then you might have a few bright or dark spots that eats up most of your grayscale. That you can overcome by setting the intensity limits manually or by doing some histogram clipping automatically.
I'm just tossing up a few ideas that I know can be useful, hopefully some of them helps.
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