Explore MATLAB source code curated for "加权中值滤波" with clean implementations, documentation, and examples.
Weighted Median Filtering: Similar to standard median filtering, but with weighted masks containing specific values/weights instead of uniform ones. Implementation involves mask convolution, pixel sorting, and median selection. The process includes: 1) Defining a 3x3 weighted mask 2) Position mask at top-left corner 3) Multiply and sort pixels 4) Select median value 5) Assign to center pixel 6) Slide mask across image.
Weighted median filtering algorithm specialized for ultrasound imaging, effectively removing noise while preserving image details, including implementation of signal-to-noise ratio calculation for quality assessment.
Implementation of image enhancement filters including low-pass filter, median filter, weighted median filter, and center-weighted median filter applied to the Lenna test image, with comparative visualization of filtered outputs and technical explanations of algorithm implementations.