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ErodeNoise & RandomErodeNoise Modules

Note

ErodeNoise Module

The ErodeNoise class applies erosion noise to an image, shrinking the white regions by performing morphological erosion using a structuring element (kernel).

Attributes

  • kernel_size : int

    The size of the structuring element (kernel) used for erosion. A larger kernel will erode more significant regions of the image.

  • iterations : int

    The number of times the erosion operation is applied. Higher iteration counts will lead to more extensive erosion.

Methods

add_noise()

add_noise(self, image: Image) -> Image:
Public method that applies erosion noise to the input image by shrinking the white regions using a structuring element.

  • Parameters:

    • image : Image

      The input image to which erosion noise will be added.

    • Returns:

      • Image:

        The image with erosion noise applied.

_erode_noise()

_erode_noise(self, image: Image) -> Image:
Internal method that applies erosion by performing morphological operations using a structuring element (kernel).

  • Parameters:

    • image : Image

      The image to which the erosion operation will be applied.

  • Returns:

    • Image:

      The image with erosion noise applied.

Usage Example

from PIL import Image
from iftg.noises import ErodeNoise

# Open an image
image = Image.open('path/to/image.tif')

# Create an ErodeNoise object with kernel size 5 and 2 iterations
erode_noise = ErodeNoise(kernel_size=5, iterations=2)

# Apply erosion noise to the image
noisy_image = erode_noise.add_noise(image)

# Save the noisy image
noisy_image.save('path/to/noisy_image.tif')


RandomErodeNoise Module

The RandomErodeNoise class extends the functionality of ErodeNoise by randomly selecting the kernel size and the number of iterations for the erosion operation within specified ranges. This adds more variation to the applied noise.

Attributes

  • kernel_size_range : Tuple[int, int]

    The range of possible values for kernel_size (structuring element size).

  • iterations_range : Tuple[int, int]

    The range of possible values for iterations (number of iterations for the erosion operation).

Methods

add_noise()

Note

Each call to add_noise() results in a different erosion noise effect, as the kernel_size and iterations are chosen randomly from the specified ranges. This adds variability to the erosion process, which is especially useful for augmenting images with random noise.

add_noise(self, image: Image) -> Image:
Public method that applies erosion noise with random kernel_size and iterations values to the input image.

  • Parameters:

    • image : Image

      The input image to which random erosion noise will be applied.

  • Returns:

    • Image:

      The image with random erosion noise applied.

Usage Example

from PIL import Image
from iftg.noises import RandomErodeNoise

# Open an image
image = Image.open('path/to/image.tif')

# Create a RandomErodeNoise object with kernel size range (3, 7) and iterations range (1, 3)
random_erode_noise = RandomErodeNoise(kernel_size_range=(3, 7), iterations_range=(1, 3))

# Apply random erosion noise to the image
random_noisy_image = random_erode_noise.add_noise(image)

# Save the randomly noisy image
random_noisy_image.save('path/to/random_noisy_image.tif')