Image Filtering and Denoising with Median Filter Implementation
Implement median filtering for image denoising with noise addition capabilities for comparative analysis using MATLAB's image processing functions
Explore MATLAB source code curated for "对比" with clean implementations, documentation, and examples.
Implement median filtering for image denoising with noise addition capabilities for comparative analysis using MATLAB's image processing functions
Pulse waveforms collected from multiple acquisition points can be used for comparative analysis or vascular modeling, making them ideal for beginners. Implementation typically involves signal acquisition algorithms, time-series data processing, and waveform comparison functions using cross-correlation or dynamic time warping techniques.
1. Implement mean smoothing filter for grayscale images with kernel size selection and boundary handling; 2. Apply median smoothing filter using sliding window technique for noise reduction; 3. Comparative analysis of mean vs median filtering performance in different noise scenarios