MATLAB-Based Average Frame Background Extraction Method in Color Space

We have developed an average frame background extraction method using MATLAB, which demonstrates exceptional performance when processing color images. Our approach primarily focuses on color space processing, where independent analysis of RGB channels enables more effective separation between foreground and background elements. Beyond conventional background extraction techniques, we've incorporated innovative methods such as color space conversion and threshold segmentation to enhance the algorithm's accuracy and robustness. The implementation involves calculating the mean background model by averaging pixel values across multiple video frames. For RGB color space processing, we handle each channel separately using MATLAB's matrix operations: - Red, Green, and Blue channels are processed independently - Color space conversion functions (rgb2hsv, rgb2lab) are utilized for enhanced feature extraction - Adaptive thresholding techniques are applied to each color channel Our experimental results confirm that this method achieves efficient and accurate background extraction across various scenarios, providing a practical tool for computer vision applications. The MATLAB code structure includes key functions for frame averaging, channel separation, and dynamic threshold calculation, making it suitable for real-time video processing applications.