To read an image using computer vision, you can use libraries like OpenCV. In Python, start by importing the library and using cv2.imread() to load the image. For example, image = cv2.imread('image.jpg').
After loading, you can display the image using cv2.imshow() or process it further by converting it to grayscale, resizing, or filtering. For instance, use cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) to convert the image to grayscale.
This process forms the foundation for performing more complex tasks like object detection or segmentation in computer vision.