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mean color of a blob calculated in another image

asked 2012-07-22 00:05:24 -0500

kespindler gravatar image

I have code essentially like the following:

img = Image('myimg.jpg')
binimg= img.binarize()
blob = binimg.findBlobs()[0]

Now, I need the mean color of the blob as calculated from img. That is to say, right now, blob.meanColor() is (255, 255, 255), because the blobs were calculated off the binarized image. Doing something like (img.crop(blob) - blob.blobMask().invert()).meanColor() doesn't exactly work because that's going to be negatively weighted by all the black surrounding the blob.

Any ideas? Seems like this should be really easy to do, and I'm just missing something obvious.

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(img.crop(blob) - blob.blobMask().invert()).findBlobs((0,0,0))[0].meanColor() doesn't even work perfectly, but is close to what I'm after. But god, seems like a ridiculous work around to redetect the blobs. Better solution would be awesome!

kespindler gravatar imagekespindler ( 2012-07-22 00:11:05 -0500 )edit

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answered 2012-07-25 09:14:56 -0500

kscottz gravatar image

Oh, super simple. I would search the documentation on git. We have a couple different variants on findBlobs. Sorry for the delay getting back to you.

img = Image('myimg.jpg')
binimg= img.binarize()
# binarize is applied first then blobs are returned
blob = img.findBlobs()[0]
# Let's say we wanted to apply a morph operation to our binary image.
blob2 = img.findBlobsFromMask(binimg.dilate())
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Asked: 2012-07-22 00:05:24 -0500

Seen: 349 times

Last updated: Jul 25 '12