diff --git a/digital_image_processing/morphological_operations/erosion_operation.py b/digital_image_processing/morphological_operations/erosion_operation.py index c0e1ef847..53001da83 100644 --- a/digital_image_processing/morphological_operations/erosion_operation.py +++ b/digital_image_processing/morphological_operations/erosion_operation.py @@ -1,34 +1,37 @@ +from pathlib import Path + import numpy as np from PIL import Image -def rgb2gray(rgb: np.array) -> np.array: +def rgb_to_gray(rgb: np.ndarray) -> np.ndarray: """ Return gray image from rgb image - >>> rgb2gray(np.array([[[127, 255, 0]]])) + + >>> rgb_to_gray(np.array([[[127, 255, 0]]])) array([[187.6453]]) - >>> rgb2gray(np.array([[[0, 0, 0]]])) + >>> rgb_to_gray(np.array([[[0, 0, 0]]])) array([[0.]]) - >>> rgb2gray(np.array([[[2, 4, 1]]])) + >>> rgb_to_gray(np.array([[[2, 4, 1]]])) array([[3.0598]]) - >>> rgb2gray(np.array([[[26, 255, 14], [5, 147, 20], [1, 200, 0]]])) + >>> rgb_to_gray(np.array([[[26, 255, 14], [5, 147, 20], [1, 200, 0]]])) array([[159.0524, 90.0635, 117.6989]]) """ r, g, b = rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2] return 0.2989 * r + 0.5870 * g + 0.1140 * b -def gray2binary(gray: np.array) -> np.array: +def gray_to_binary(gray: np.ndarray) -> np.ndarray: """ Return binary image from gray image - >>> gray2binary(np.array([[127, 255, 0]])) + >>> gray_to_binary(np.array([[127, 255, 0]])) array([[False, True, False]]) - >>> gray2binary(np.array([[0]])) + >>> gray_to_binary(np.array([[0]])) array([[False]]) - >>> gray2binary(np.array([[26.2409, 4.9315, 1.4729]])) + >>> gray_to_binary(np.array([[26.2409, 4.9315, 1.4729]])) array([[False, False, False]]) - >>> gray2binary(np.array([[26, 255, 14], [5, 147, 20], [1, 200, 0]])) + >>> gray_to_binary(np.array([[26, 255, 14], [5, 147, 20], [1, 200, 0]])) array([[False, True, False], [False, True, False], [False, True, False]]) @@ -36,9 +39,10 @@ def gray2binary(gray: np.array) -> np.array: return (gray > 127) & (gray <= 255) -def erosion(image: np.array, kernel: np.array) -> np.array: +def erosion(image: np.ndarray, kernel: np.ndarray) -> np.ndarray: """ Return eroded image + >>> erosion(np.array([[True, True, False]]), np.array([[0, 1, 0]])) array([[False, False, False]]) >>> erosion(np.array([[True, False, False]]), np.array([[1, 1, 0]])) @@ -62,14 +66,17 @@ def erosion(image: np.array, kernel: np.array) -> np.array: return output -# kernel to be applied -structuring_element = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]]) - if __name__ == "__main__": # read original image - image = np.array(Image.open(r"..\image_data\lena.jpg")) + lena_path = Path(__file__).resolve().parent / "image_data" / "lena.jpg" + lena = np.array(Image.open(lena_path)) + + # kernel to be applied + structuring_element = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]]) + # Apply erosion operation to a binary image - output = erosion(gray2binary(rgb2gray(image)), structuring_element) + output = erosion(gray_to_binary(rgb_to_gray(lena)), structuring_element) + # Save the output image pil_img = Image.fromarray(output).convert("RGB") pil_img.save("result_erosion.png")