如何从我的png图像中分离出每个白色斑点？

Question

I am given a png image which is strictly two colours: Black and White . More specifically it has a black background and some white marks (we call blobs). Each image has about 30 to 50 such blobs. Our task is to generate those 30 to 50 sperate images from our given image, with each having one blob .

For example, we have a given image:

We need to convert them into:

And so on with all the blobs. Please guide me on how to do it, I am comfortable with all standard image processing libraries in python.

Answer 1

I think you are looking for scipy.ndimage.measurements.label :

from scipy.ndimage.measurements import label

lb = label(my_bw_image)
msks = []
for li in xrange(1, lb.max()+1):
    msks.append(lb==li)

You should have all your masks in msks list.