RGB Channel Separation for Image Analysis
Separate an RGB image into its red, green, and blue components and visualize each individual channel to understand color composition and distribution patterns.
Conversion from Grayscale to RGB with MATLAB Implementation
MATLAB implementation for grayscale to RGB conversion, including image file processing and M-file functions with detailed code examples
Conversion Between Different Color Systems and Models
Implementation of color space conversions between RGB, YPbPr, YCbCr/YCC, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV/HSB, HSL/HLS/HSI, XYZ, Lab, Luv, and Lch color systems with code-level algorithm explanations
Displaying Grayscale Values of RGB Components Using MATLAB
Implementing RGB Component Grayscale Visualization with MATLAB through Image Loading, Color Channel Separation, and Grayscale Conversion Algorithms
RGB to HSI Color Space Conversion
"RGB_to_HSI_Conversion.m" is a main function that calls rgb2hsi.m - a custom implementation since MATLAB doesn't include this function natively, primarily used for shadow removal applications.
Conversion from HSI Color Space to RGB Color Space
Implementation of HSI to RGB color space conversion using MATLAB with algorithm explanation and practical applications.
hsi2rgb - MATLAB Implementation for HSI to RGB Color Space Conversion
MATLAB code for converting HSI (Hue, Saturation, Intensity) color space to RGB (Red, Green, Blue) color space with implementation details and algorithm explanation
RGB to HSI Color Space Conversion with MATLAB Implementation
MATLAB implementation for converting color images from RGB to HSI color space. This function can be easily integrated into your MATLAB installation directory for direct calling. Includes original test images and processed result images for visual comparison of the conversion effects. The implementation handles color space transformation algorithms and proper normalization procedures.
Application of K-means Clustering for RGB and HSR Image Segmentation
Implementation of image segmentation algorithm using K-means clustering method for RGB and HSR images. The approach demonstrates strong performance with practical results worth referencing for similar applications.
Color Space Conversions: RGB, YCbCr, HSV, HSL, CIE, and More
This MATLAB program facilitates comprehensive color space conversions, supporting bidirectional transformations between RGB, YPbPr, YCbCr, YUV, YIQ, YDbDr, JPEG-YCbCr, HSV, HSL, XYZ, CIE Lab (CIELAB), CIE Luv (CIELUV), and CIE Lch (CIELCH) color spaces. The implementation includes optimized algorithms for efficient pixel-wise conversions with proper gamut handling.