Color Space Transformation

In this article, we explore techniques for converting truecolor images to indexed images with proper display implementation. We demonstrate RGB to HSV color space conversion using MATLAB's rgb2hsv() function and visualize results through image viewers. Additionally, we extract three color components from both RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) images using channel separation methods, followed by individual component display. The process involves using matrix operations for component extraction, where RGB channels are separated via indexing (e.g., R_channel = RGB_image(:,:,1)) while HSV components require different handling due to their normalized value ranges. Finally, we implement image cropping techniques using array slicing operations (imcrop() function or manual rectangle selection) to achieve optimal results. Throughout the discussion, we introduce relevant tools and algorithms including color quantization for indexed image conversion and color space transformation mathematics to help better understand and apply these concepts in practical image processing workflows.