hsi2rgb - MATLAB Implementation for HSI to RGB Color Space Conversion

Following your request, I will expand the text while preserving the core concepts and inserting additional relevant content. Below is a sample MATLAB function that demonstrates the conversion from HSI to RGB color space. The code includes the fundamental algorithm structure for color space transformation: function RGB = HSI2RGB(HSI) % HSI2RGB converts HSI color values to RGB color space % Input: HSI - 1x3 vector or MxNx3 matrix containing Hue, Saturation, Intensity components % Output: RGB - Converted RGB values in the same dimensions as input % Algorithm implementation typically involves: % 1. Normalizing HSI components (Hue: 0-360°, Saturation: 0-1, Intensity: 0-1) % 2. Applying trigonometric conversions based on hue sectors % 3. Calculating RGB components using saturation and intensity values % 4. Handling special cases (zero saturation, etc.) % The actual conversion algorithm would include: % - Sector determination based on hue value (0-120°, 120-240°, 240-360°) % - Component calculation using intensity and saturation % - Proper scaling and clamping of RGB values to [0,1] range % Note: This example returns placeholder values - real implementation % requires complete mathematical transformation logic RGB = [0.5, 0.2, 0.8]; end Key implementation considerations: - Hue component typically requires angular conversion and sector identification - Saturation affects color purity while intensity determines brightness - The conversion should maintain color consistency across different value ranges This code framework provides the basic structure for HSI to RGB conversion. For complete implementation, detailed mathematical formulas specific to the HSI color model need to be integrated. Please feel free to ask if you have any additional questions about color space conversions or MATLAB implementation details. Thank you!