Mahotas - Getting Border of label at given region

Mahotas - Getting Border of label at given region

mahotas is a computer vision and image processing library in Python. If you are interested in getting the border of a labeled region using mahotas, you can achieve this using a combination of morphological operations.

Here's how you can get the border of a label in a labeled image:

  1. Create a binary image for the specific label.
  2. Use morphological dilation to expand the region slightly.
  3. Subtract the original region from the dilated one to get the border.

Here's a step-by-step example using mahotas:

import numpy as np import mahotas # Sample labeled image labeled_image = np.array([ [0, 0, 1, 1, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 0, 0, 0, 3], [0, 3, 3, 3, 3], ]) # Function to get the border of a specific label def get_label_border(labeled_image, label): binary_image = (labeled_image == label) # Use mahotas to dilate the binary region dilated = mahotas.dilate(binary_image) # Subtract to get the border border = dilated - binary_image return border # Test the function border_for_label_1 = get_label_border(labeled_image, 1) print(border_for_label_1)

This will give you the border for the labeled region 1. Adjust the label in the function call to get the border for other regions.

Note: Ensure you have the required packages installed (numpy and mahotas) for the code to run.

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