OpenCV implements literally hundreds of formulas that pertain to the conversion of color models. Some color models are commonly used by input devices such as cameras, while other models are commonly used for output devices such as televisions, computer displays, and printers. In between input and output, when we apply computer vision techniques to images, we will typically work with three kinds of color models: grayscale, blue-green-red (BGR), and hue-saturation-value (HSV). Let's go over these briefly:
- Grayscale is a model that reduces color information by translating it into shades of gray or brightness. This model is extremely useful for the intermediate processing of images in problems where brightness information alone is sufficient, such as face detection. Typically, each pixel in a grayscale image is represented by...
