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Why is OpenCV Rendering Color Images Incorrectly When Loading?
When loading a color image using Python OpenCV, users may encounter instances where the resulting image displays with incorrect colors. This issue arises due to different color order conventions used by OpenCV and matplotlib.
Understanding Color Order Differences
OpenCV employs BGR (Blue-Green-Red) as its default color order for images, while matplotlib operates with RGB (Red-Green-Blue). This discrepancy leads to color distortions when displaying images loaded by OpenCV in matplotlib.
Solution: Convert BGR to RGB
To resolve this issue, explicitly convert the image from BGR to RGB using the following line of code:
RGB_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
Using Converted Image for Display
Once the image is converted to RGB, you can use it for plotting instead of the original BGR image:
plt.subplot(1,2,i+1),plt.imshow(RGB_img,'gray')
By following this approach, the image will be displayed with accurate colors, aligning with the conventional RGB order used by matplotlib.
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