def CropImage(img):
width,height = img.size
try:
leftMargin = min([list(x).index(False)
for x in img if False in list(x)])
except ValueError:
leftMargin = 0
try:
rightMargin = min([RevList(list(x)).index(False)
for x in img if False in list(x)])
except ValueError:
rightMargin =0
try:
topMargin = min([list(x).index(False)
for x in numpy.transpose(img) if False in list(x)])
except ValueError:
topMargin = 0
try:
bottomMargin = min([RevList(list(x)).index(False)
for x in numpy.transpose(img) if False in list(x)])
except ValueError:
bottomMargin =0
imgGray = pymorph.gray(img)
return Image.fromarray(imgGray).crop((leftMargin,topMargin,width-rightMargin,height-bottomMargin))
def ThinImage(imgPath):
img = Image.open(imgPath).convert('L')
imgArray = numpy.asarray(img)
imgBinary = pymorph.neg(pymorph.binary(imgArray))
img = pymorph.thin(imgBinary)
iPrune = pymorph.thin(img,pymorph.endpoints('homotopic'),10)
Image.fromarray(pymorph.gray(pymorph.neg(iPrune))).save('thinned.png','PNG')
print "Saving"
def thinning(img, iters=-1, theta=45):
""" thinning morphological operation """
# convert to binary
assert len(img.shape) == 2
bin_img = pymorph.binary(img)
result = pymorph.thin(bin_img, n=iters, theta=theta)
return pymorph.gray(result)
def skelm(img, mask=None):
"""skeleton operation """
assert len(img.shape) == 2
bin_img = pymorph.binary(img)
if mask == None:
result = pymorph.skelm(bin_img)
else:
result = pymorph.skelm(bin_img, mask)
return pymorph.gray(result)