I'm having a problem with a code that extracts characters from an image:
Example:
Original image
Processed image
I am applying a bunch of filters to try and extract specific characters from these signs and send them to my OCR software (gaussian filters, water shedding and thresholding).
I want to apply an otsu threshold filter to an image, but when I try to save the image, it is getting converted to float64, making it unsaveable as a png:
seeds,nseeds = mahotas.label(dnaf < T)
labeled = mahotas.cwatershed(dnaf.max() - dnaf, seeds)
labeled = labeled.astype('uint8')
T = mahotas.thresholding.otsu(labeled)
pylab.imshow(labeled > T)
pylab.show()
mahotas.imsave('py.png', labeled > T)
gives me
File "imgtest2.py", line 67, in <module>
mahotas.imsave('py.png', labeled > T)
File "/usr/local/lib/python2.7/site-packages/mahotas/io/freeimage.py", line 798, in imsave
write(img, filename)
File "/usr/local/lib/python2.7/site-packages/mahotas/io/freeimage.py", line 586, in write
bitmap, fi_type = _array_to_bitmap(array)
File "/usr/local/lib/python2.7/site-packages/mahotas/io/freeimage.py", line 653, in _array_to_bitmap
'mahotas.freeimage: cannot write arrays of given type and shape.')
ValueError: mahotas.freeimage: cannot write arrays of given type and shape.
if I try to make an intermediate variable that saves the image with the threshold applied, the image goes blank:
seeds,nseeds = mahotas.label(dnaf < T)
labeled = mahotas.cwatershed(dnaf.max() - dnaf, seeds)
labeled = labeled.astype('uint8')
T = mahotas.thresholding.otsu(labeled)
final = labeled > T
final = final.astype('uint8')
pylab.imshow(final)
pylab.show()
mahotas.imsave('py.png', final)
What can I do to fix this?
(Author of mahotas here):
My guess is that the image is correctly saved, but you are looking at it wrong. After the line
final = final.astype('uint8')
final is a uint8
image with 0
s and 1
s. Thus the "white" bits are very dark. Try multiplying it by 255:
mahotas.imsave('py.png', 255 * final)
Or save it like this, but visualize it in a stretched version:
pylab.imshow(255 * final)
pylab.show()