Invert image displayed by imshow in matplotlib

Invert image displayed by imshow in matplotlib

To invert the colors of an image displayed by imshow in matplotlib, you can use the cmap parameter to specify a colormap that inverts the color values. One commonly used colormap for inverting colors is the 'gray_r' colormap, which is the reverse grayscale colormap. Here's an example:

import matplotlib.pyplot as plt import matplotlib.image as mpimg # Load an example image image = mpimg.imread('example_image.jpg') # Display the original image plt.figure(figsize=(8, 4)) plt.subplot(1, 2, 1) plt.title('Original Image') plt.imshow(image) # Display the inverted image plt.subplot(1, 2, 2) plt.title('Inverted Image') plt.imshow(image, cmap='gray_r') # Use 'gray_r' to invert colors plt.tight_layout() plt.show() 

In this example:

  1. We first load an example image using mpimg.imread. Replace 'example_image.jpg' with the path to your own image.

  2. We create a figure with two subplots to display the original and inverted images side by side.

  3. In the second subplot, we use imshow with the cmap parameter set to 'gray_r' to display the inverted image. The 'gray_r' colormap inverts the grayscale values, effectively inverting the colors.

  4. Finally, we use plt.show() to display the figure with both the original and inverted images.

By specifying 'gray_r' as the colormap, you can easily invert the colors of the displayed image.

Examples

  1. How to invert colors in matplotlib imshow? Description: This query seeks information on inverting colors in an image displayed using imshow in Matplotlib.

    import matplotlib.pyplot as plt import numpy as np # Load an example image image = plt.imread('example_image.png') # Invert the image using numpy's logical not operator inverted_image = np.invert(image) # Display the original and inverted images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(inverted_image) plt.title('Inverted Image') plt.show() 
  2. Matplotlib imshow invert colors? Description: This query is about how to invert the colors of an image displayed with imshow in Matplotlib.

    import matplotlib.pyplot as plt # Load an example image image = plt.imread('example_image.png') # Invert the colors by subtracting the image from 1 inverted_image = 1 - image # Display the original and inverted images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(inverted_image) plt.title('Inverted Image') plt.show() 
  3. How to flip colors in Matplotlib imshow? Description: This query looks for ways to flip the colors of an image displayed using imshow in Matplotlib.

    import matplotlib.pyplot as plt import numpy as np # Load an example image image = plt.imread('example_image.png') # Flip the colors using numpy's bitwise not operator flipped_image = np.bitwise_not(image) # Display the original and flipped images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(flipped_image) plt.title('Flipped Image') plt.show() 
  4. How to negative an image in Matplotlib imshow? Description: This query seeks methods to generate the negative of an image displayed using imshow in Matplotlib.

    import matplotlib.pyplot as plt import numpy as np # Load an example image image = plt.imread('example_image.png') # Generate the negative of the image negative_image = 1 - image # Display the original and negative images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(negative_image) plt.title('Negative Image') plt.show() 
  5. How to invert grayscale image displayed by imshow in matplotlib? Description: This query focuses on inverting a grayscale image displayed with imshow in Matplotlib.

    import matplotlib.pyplot as plt import numpy as np # Load an example grayscale image gray_image = plt.imread('grayscale_image.png') # Invert the grayscale image using numpy's logical not operator inverted_gray_image = np.invert(gray_image) # Display the original and inverted grayscale images plt.subplot(1, 2, 1) plt.imshow(gray_image, cmap='gray') plt.title('Original Grayscale Image') plt.subplot(1, 2, 2) plt.imshow(inverted_gray_image, cmap='gray') plt.title('Inverted Grayscale Image') plt.show() 
  6. Matplotlib imshow invert black and white? Description: This query is about inverting black and white colors in an image displayed with imshow in Matplotlib.

    import matplotlib.pyplot as plt # Load an example image image = plt.imread('example_image.png') # Invert black and white colors by subtracting from 1 and setting threshold inverted_bw_image = (1 - image) > 0.5 # Display the original and inverted black and white images plt.subplot(1, 2, 1) plt.imshow(image, cmap='binary') plt.title('Original BW Image') plt.subplot(1, 2, 2) plt.imshow(inverted_bw_image, cmap='binary') plt.title('Inverted BW Image') plt.show() 
  7. How to reverse color of an image in Matplotlib imshow? Description: This query seeks ways to reverse the color of an image displayed with imshow in Matplotlib.

    import matplotlib.pyplot as plt # Load an example image image = plt.imread('example_image.png') # Reverse the color of the image by subtracting it from 1 reversed_color_image = 1 - image # Display the original and reversed color images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(reversed_color_image) plt.title('Reversed Color Image') plt.show() 
  8. Matplotlib imshow invert colormap? Description: This query aims to invert the colormap of an image displayed with imshow in Matplotlib.

    import matplotlib.pyplot as plt # Load an example image image = plt.imread('example_image.png') # Display the image with inverted colormap plt.imshow(image, cmap='gray_r') plt.title('Inverted Colormap Image') plt.colorbar() plt.show() 
  9. How to invert image displayed by imshow in matplotlib to get a negative image? Description: This query is about inverting an image displayed using imshow in Matplotlib to obtain a negative image.

    import matplotlib.pyplot as plt # Load an example image image = plt.imread('example_image.png') # Invert the image to get a negative image negative_image = 1 - image # Display the original and negative images plt.subplot(1, 2, 1) plt.imshow(image) plt.title('Original Image') plt.subplot(1, 2, 2) plt.imshow(negative_image) plt.title('Negative Image') plt.show() 
  10. How to invert colors of an image displayed using imshow in matplotlib without affecting alpha channel? Description: This query seeks methods to invert the colors of an image displayed using imshow in Matplotlib without affecting the alpha channel.

    import matplotlib.pyplot as plt import numpy as np # Load an example RGBA image rgba_image = plt.imread('rgba_image.png') # Separate RGB channels rgb_channels = rgba_image[:, :, :3] alpha_channel = rgba_image[:, :, 3] # Invert RGB channels inverted_rgb_channels = 1 - rgb_channels # Reconstruct RGBA image inverted_rgba_image = np.dstack((inverted_rgb_channels, alpha_channel)) # Display the original and inverted images plt.subplot(1, 2, 1) plt.imshow(rgba_image) plt.title('Original RGBA Image') plt.subplot(1, 2, 2) plt.imshow(inverted_rgba_image) plt.title('Inverted RGBA Image') plt.show() 

More Tags

slack contain viewpropertyanimator human-readable finance google-cloud-firestore php-7.3 function firemonkey document-ready

More Python Questions

More Fitness Calculators

More Transportation Calculators

More Internet Calculators

More Statistics Calculators