def __init__(self, imagePath):

# Store the integer image array

# used when computing

# Read an image into a ndarray from a file.

self.imgArray = mh.imread(imagePath, False)

def croppBoundingBox(self):

# Returns a version of img cropped to the image’s bounding box.

# http://mahotas.readthedocs.io/en/latest/api.html#mahotas.croptobbox

return mh.croptobbox(self.imgArray, 0)

def centerOfMass(self):

# Returns the center of mass of img.

# http://mahotas.readthedocs.io/en/latest/api.html#mahotas.center_of_mass

# mahotas.center_of_mass(img, labels=None)

# If labels is given, then it returns L centers of mass,

# one for each region identified by labels (including region 0).

# Return: The exact shape of the output

# depends on whether the labels argument was used.

# If labels is None, then the return value

# is a 1-ndarray of coordinates (size = len(img.shape));

# otherwise, the return value is a 2-ndarray of coordinates

# (shape = (labels.max()+1, len(img.shape)).

return mh.center_of_mass(self.imgArray)

def skeletonisation(self):

#Skeletonisation by thinning

return mh.thin(self.imgArray)