RGB to HSV Image Conversion

This technical documentation describes a MATLAB implementation for converting RGB images to HSV color space using a dedicated .m file that offers straightforward comprehension. The conversion process transforms the color representation from the Red-Green-Blue (RGB) color model to the Hue-Saturation-Value (HSV) model, which provides an alternative representation of image colors while maintaining essential image attributes. The implementation typically involves mathematical transformations where: - Hue represents the color type, calculated using trigonometric functions based on the RGB components - Saturation indicates the color purity, derived from the difference between maximum and minimum RGB values - Value corresponds to the brightness, determined by the maximum RGB component Key MATLAB functions that may be utilized include rgb2hsv() for direct conversion, or custom implementations using element-wise operations for educational purposes. The algorithm handles normalization of values to ensure proper HSV ranges (H: 0-1 or 0-360°, S: 0-1, V: 0-1) and manages edge cases where RGB values may be equal. This approach facilitates better color-based image processing tasks such as color segmentation, detection, and analysis.