Image Conversion Between Color Systems: LUV, RGB, YUV, and LAB

You can use the following MATLAB code to convert images between different color systems such as LUV, RGB, YUV, and LAB: The code demonstrates color space transformations using MATLAB's built-in functions or custom implementations. The rgb2luv function converts images from RGB to CIELUV color space, which is perceptually uniform and useful for color difference measurements. Similarly, rgb2yuv handles conversion to YUV color space commonly used in video systems, separating luminance (Y) from chrominance (UV) components. The rgb2lab function transforms images to CIELAB color space, designed to approximate human vision and widely used in color analysis applications. % Convert image from RGB color space to LUV color space luv_image = rgb2luv(rgb_image); % Convert image from RGB color space to YUV color space yuv_image = rgb2yuv(rgb_image); % Convert image from RGB color space to LAB color space lab_image = rgb2lab(rgb_image); These conversion routines help understand relationships between different color systems and enable appropriate transformations when needed. Each conversion employs specific mathematical transformations: RGB to LUV uses intermediate XYZ conversion with chromatic adaptation, RGB to YUV applies linear combinations of RGB components, while RGB to LAB involves nonlinear transformations based on human perceptual characteristics. Proper normalization and scaling should be considered when implementing these conversions for accurate color representation.