**Why Do My OpenCV Images Appear Color Distorted When Plotted with Matplotlib?**

OpenCV Image Loading Color Discrepancy Resolved

When loading color images using Python OpenCV for subsequent plotting, it is observed that the displayed colors appear distorted. This issue arises due to the different color space representations used by OpenCV and matplotlib.

Understanding the Color Space Difference:

OpenCV employs the BGR (Blue-Green-Red) color space while matplotlib utilizes the RGB (Red-Green-Blue) color space. This incompatibility leads to a mix-up of colors upon displaying these images.

Resolving the Issue:

To rectify this problem, it is necessary to convert the image to the RGB color space before plotting it. This can be done using OpenCV's conversion function:

<code class="python">RGB_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)</code>

This step ensures that the colors in the plotted image accurately reflect the original input image.

Example:

The following code snippet demonstrates this solution:

<code class="python">import cv2
import matplotlib.pyplot as plt

# Loading the image using OpenCV (BGR by default)
img = cv2.imread('lena_caption.png')

# Converting the image to RGB
RGB_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

# Plotting the original and converted RGB image
plt.subplot(1, 2, 1), plt.imshow(img)
plt.title('Original Image (BGR)')

plt.subplot(1, 2, 2), plt.imshow(RGB_img)
plt.title('Converted RGB Image')

plt.show()</code>

By employing this conversion technique, we can successfully load and plot color images using OpenCV and matplotlib without experiencing any color distortion.

The above is the detailed content of **Why Do My OpenCV Images Appear Color Distorted When Plotted with Matplotlib?**. For more information, please follow other related articles on the PHP Chinese website!