Explore MATLAB source code curated for "背景提取" with clean implementations, documentation, and examples.
Motion detection and background extraction techniques, ideal for beginners in computer vision with practical implementation examples and algorithm explanations for foundational learning
A runnable MATLAB simulation for image contour detection and background extraction, developed as a practical tool for research projects
Implements video background extraction using the frame difference method with effective results. After running the program, simply select your target video to extract the background. The algorithm compares pixel differences between consecutive frames to identify static background elements.
Background extraction using iterative method (Surendra algorithm); utilizes frame differencing technique where current frame is subtracted from previous frame to identify moving regions. By eliminating these dynamic areas, static background is obtained. The iterative approach processes multiple frames to achieve more accurate background estimation.
Implementation of an adaptive thresholding algorithm to extract foreground images from backgrounds with uneven lighting conditions, using advanced image processing techniques and dynamic threshold calculation methods.
A program for background extraction using the frame difference method with excellent performance, implementing motion detection by comparing sequential video frames to isolate static background elements.
A MATLAB implementation of average frame background extraction method with color space processing and RGB channel analysis