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Fix mypy errors in dilation_operation.py (#8595)

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* updating DIRECTORY.md

* Fix mypy errors in dilation_operation.py

* Rename functions to use snake case

* updating DIRECTORY.md

* updating DIRECTORY.md

* Replace raw file string with pathlib Path

* Update digital_image_processing/morphological_operations/dilation_operation.py

Co-authored-by: Christian Clauss <cclauss@me.com>

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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
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Tianyi Zheng 2023-04-01 12:39:22 -04:00 committed by GitHub
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commit a213cea5f5
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1 changed files with 18 additions and 17 deletions
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digital_image_processing/morphological_operations/dilation_operation.py
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@ -1,33 +1,35 @@
from pathlib import Path
import numpy as np import numpy as np
from PIL import Image 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 Return gray image from rgb image
>>> rgb2gray(np.array([[[127, 255, 0]]])) >>> rgb_to_gray(np.array([[[127, 255, 0]]]))
array([[187.6453]]) array([[187.6453]])
>>> rgb2gray(np.array([[[0, 0, 0]]])) >>> rgb_to_gray(np.array([[[0, 0, 0]]]))
array([[0.]]) array([[0.]])
>>> rgb2gray(np.array([[[2, 4, 1]]])) >>> rgb_to_gray(np.array([[[2, 4, 1]]]))
array([[3.0598]]) 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]]) array([[159.0524, 90.0635, 117.6989]])
""" """
r, g, b = rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2] r, g, b = rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
return 0.2989 * r + 0.5870 * g + 0.1140 * b 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 Return binary image from gray image
>>> gray2binary(np.array([[127, 255, 0]])) >>> gray_to_binary(np.array([[127, 255, 0]]))
array([[False, True, False]]) array([[False, True, False]])
>>> gray2binary(np.array([[0]])) >>> gray_to_binary(np.array([[0]]))
array([[False]]) 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]]) 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], array([[False, True, False],
[False, True, False], [False, True, False],
[False, True, False]]) [False, True, False]])
@ -35,7 +37,7 @@ def gray2binary(gray: np.array) -> np.array:
return (gray > 127) & (gray <= 255) return (gray > 127) & (gray <= 255)
def dilation(image: np.array, kernel: np.array) -> np.array: def dilation(image: np.ndarray, kernel: np.ndarray) -> np.ndarray:
""" """
Return dilated image Return dilated image
>>> dilation(np.array([[True, False, True]]), np.array([[0, 1, 0]])) >>> dilation(np.array([[True, False, True]]), np.array([[0, 1, 0]]))
@ -61,14 +63,13 @@ def dilation(image: np.array, kernel: np.array) -> np.array:
return output return output
# kernel to be applied
structuring_element = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
if __name__ == "__main__": if __name__ == "__main__":
# read original image # read original image
image = np.array(Image.open(r"..\image_data\lena.jpg")) lena_path = Path(__file__).resolve().parent / "image_data" / "lena.jpg"
output = dilation(gray2binary(rgb2gray(image)), structuring_element) lena = np.array(Image.open(lena_path))
# kernel to be applied
structuring_element = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
output = dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
# Save the output image # Save the output image
pil_img = Image.fromarray(output).convert("RGB") pil_img = Image.fromarray(output).convert("RGB")
pil_img.save("result_dilation.png") pil_img.save("result_dilation.png")