Random points from an image using a BernoulliDistribution

I am a Mathematica newbie. I need to sample random points from an image which I have stored in a variable img as:

image=Import["ExampleData/ocelot.jpg"]
img = ImageData[image]


Can you guys suggest how I can use a BernoulliDistribution to sample points from the image using Flatten, Map, RandomVariate, Partition and Image functions?

I know a similar problem was discussed here but the solutions there are very convoluted and I am not able to follow them. Thanks a lot for the help and very sorry if this seems like a duplicate post but I have spent the whole evening banging my head over the link to the post above but am not able to reproduce the same with the above functions. Thanks again!

• Can you upload image.jpg somewhere? – J. M. is slightly pensive Oct 2 '18 at 5:25
• Hi, I have updated the question. Thanks a lot for the help! – mathematicaNewbie Oct 2 '18 at 5:49
• Can you please clarify if you actually have a grayscale image, or a binary image? The new example you gave is grayscale, so sampling over that is not as clear-cut as the binary image case, which is already dealt with in the thread you linked to. – J. M. is slightly pensive Oct 2 '18 at 6:44
• The image I need to work with is grayscale. Thanks! – mathematicaNewbie Oct 2 '18 at 7:07