After implementing a mex-files for calculating integral image in matlab, a friend of mine told me this can be easily done with the * cumsum* function in matlab.

intImage = cumsum(cumsum(double(img)),2);

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After implementing a mex-files for calculating integral image in matlab, a friend of mine told me this can be easily done with the * cumsum* function in matlab.

intImage = cumsum(cumsum(double(img)),2);

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Hi, I have a question (if possible)

Is there a work-around that allow us to calculate the integral image of an image just on the borders (a kind of frame – stripe)?

For example, setting to zero all the pixel st ( k<=x<=H-k, k<=y<=W-k).

Would this approach speed up the performances while preserving, for example, stitching algorithm functionalities?

Many thanks

If I have understood your question correctly then I think it can be done quite easily by taking a mask lets say M. Set all the ‘boundary-strip’ pixels == 1

and rest equal to zero in mask.

img = mask.*img;

then use the above

intImage = cumsum(cumsum(double(img)),2);

Any just-as-easy way to do the reverse?

Function

should be what you need.diffCould this be extended in 3D. I would like to compute à 3D integral image

Thanks

I have the same problem, I gonna get an integral image from a 3d image. My intuition says it should be

intImage = cumsum(cumsum(cumsum(double(img)),2),3);

is it right?

how integral image increase the speed.how integral image will be calculated.

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