Background subtracting in MATLAB
I'm looking to do background subtracting on an image. I'm new to MATLAB and new to image processing/analysis, so sorry if any of this sounds stupid. 1) Other than imsubtract() are there other ways to do background subtracting (besides comparing one image to another)? 2) In the Math Works explanation for imsubtract() why do they make their structuring element a disk? This seems rather difficult so far because every time I try something, I end up not only subtracting the noisy background but also losing the parts of the image I want to look at!
Answer
What kind of image do you work with?
Background subtraction is easy. If you want to subtract a constant value, or a background with the same size as your image, you simply write img = img - background. imsubtract simply makes sure that the output is zero wherever the background is larger than the image.
Background estimation is hard. There you need to know what kind of image you're looking at, otherwise, the background estimation will fail.
If you have, for example, spot or line features that are either all dark on bright or bright on dark background, you can pass through with a local maximum filter (imdilate) or a local minimum filter (imerode), respectively, that is larger than your features, so that wherever you place the filter mask, there are some pixels that cover background. Also, you want the filter to have somewhat similar shape as the features. In your case, if you lose part of your image, you may want to try and make the filter larger (but not too large).
Instead of subtracting maximum or minimum, subtracting the median can work well, though you have to choose the filter size such that there's usually a majority of background pixels inside the filter mask. Unfortunately, median filtering is rather slow.