ipfml.processing.segmentation

All segmentation methods applied on images

Functions

divide_in_blocks(image, block_size[, pil])

Divide image into equal size blocks

ipfml.processing.segmentation.divide_in_blocks(image, block_size, pil=True)

Divide image into equal size blocks

Parameters:

• image – PIL Image or Numpy array
• block – tuple (width, height) representing the size of each dimension of the block
• pil – block type returned as PIL Image (default True)

Returns:

list containing all 2D Numpy blocks (in RGB or not)

Raises:

ValueError – If image_width or image_height are not compatible to produce correct block sizes

Example:

>>> import numpy as np
>>> from PIL import Image
>>> from ipfml.processing import transform, segmentation
>>> image_values = np.random.randint(255, size=(800, 800, 3))
>>> blocks = segmentation.divide_in_blocks(image_values, (20, 20))
>>> len(blocks)
1600
>>> blocks[0].width
20
>>> blocks[0].height
20
>>> img_l = Image.open('./images/test_img.png')
>>> L = transform.get_LAB_L(img_l)
>>> blocks_L = segmentation.divide_in_blocks(L, (100, 100))
>>> len(blocks_L)
4
>>> blocks_L[0].width
100