Extracting Dominant Colors from Images Using MATLAB Implementation

Implementing dominant color extraction from images using MATLAB is quite straightforward and particularly suitable for beginners. The process begins by loading the image using the imread() function and converting it to RGB format if necessary. The core algorithm involves calculating the average RGB values across all image pixels by processing each pixel's color components. This can be achieved using mean() function applied to each color channel (R, G, B) separately across the entire image matrix. For enhanced accuracy, you may implement k-means clustering with k=1 to find the centroid representing the dominant color. Finally, comparing the extracted dominant color swatch with the original image using side-by-side visualization helps better understand the image's color distribution characteristics. This algorithm serves as an excellent introductory project for beginners to learn fundamental image processing principles and programming techniques in MATLAB, covering essential functions like image I/O, matrix operations, and basic color analysis.