NumPy dla obrazów
Przetwarzanie obrazów w Pythonie
Rebeca Gonzalez
Data Engineer
NumPy dla obrazów
Obrazy jako NdArrays
# Loading the image using Matplotlib
madrid_image = plt.imread('/madrid.jpeg')
type(madrid_image)
<class 'numpy.ndarray'>
Kolory z NumPy
Kolory z NumPy
# Obtaining the red values of the image
red = image[:, :, 0]
# Obtaining the green values of the image
green = image[:, :, 1]
# Obtaining the blue values of the image
blue = image[:, :, 2]
Kolory z NumPy
plt.imshow(red, cmap="gray")
plt.title('Red')
plt.axis('off')
plt.show()
Kształty
# Accessing the shape of the image
madrid_image.shape
(426, 640, 3)
Rozmiary
# Accessing the shape of the image
madrid_image.size
817920
Odbijanie obrazów: pionowo
# Flip the image in up direction
vertically_flipped = np.flipud(madrid_image)
show_image(vertically_flipped, 'Vertically flipped image')
Odbijanie obrazów: poziomo
# Flip the image in left direction
horizontally_flipped = np.fliplr(madrid_image)
show_image(horizontally_flipped, 'Horizontally flipped image')
Czym jest histogram?
Histogramy kolorów
Zastosowania histogramów
Histogramy w Matplotlib
# Red color of the image red = image[:, :, 0]# Obtain the red histogram plt.hist(red.ravel(), bins=256)
Wizualizacja histogramów w Matplotlib
blue = image[:, :, 2]
plt.hist(blue.ravel(), bins=256)
plt.title('Blue Histogram')
plt.show()
