In this article we will see how we can remove the bordered label from the labelled image in mahotas. Border labels are those labels which are touching the border, we can create labelled image from normal image with the help of mahotas.label method.
For this we are going to use the fluorescent microscopy image from a nuclear segmentation benchmark. We can get the image with the help of command given below
mahotas.demos.nuclear_image()
Below is the nuclear_image
Labelled images are integer images where the values correspond to different regions. I.e., region 1 is all of the pixels which have value 1, region two is the pixels with value 2, and so on
In order to do this we will use mahotas.remove_bordering method
Syntax : mahotas.remove_bordering(labelled)
Argument : It takes labelled image object as argument
Return : It returns the labelled image without label at the borders
Example 1:
Python3
# importing required librariesimport mahotasimport numpy as npfrom pylab import imshow, showimport os# loading nuclear imagef = mahotas.demos.load('nuclear')# setting filter to the imagef = f[:, :, 0]# setting gaussian filterf = mahotas.gaussian_filter(f, 4)# setting threshold valuef = (f> f.mean())# creating a labelled imagelabelled, n_nucleus = mahotas.label(f)# showing the labelled imageprint("Labelled Image")imshow(labelled)show()# removing border labelslabelled = mahotas.labelled.remove_bordering(labelled)# showing the imageprint("No border Label")imshow(labelled)show() |
Output :
Example 2:
Python3
# importing required librariesimport numpy as npimport mahotasfrom pylab import imshow, show# loading imageimg = mahotas.imread('dog_image.png') # filtering the imageimg = img[:, :, 0] # setting gaussian filtergaussian = mahotas.gaussian_filter(img, 15)# setting threshold valuegaussian = (gaussian > gaussian.mean())# creating a labelled imagelabelled, n_nucleus = mahotas.label(gaussian) print("Labelled Image")# showing the gaussian filterimshow(labelled)show()# removing border labelslabelled = mahotas.labelled.remove_bordering(labelled)# showing the imageprint("No border Label")imshow(labelled)show() |
Output :
