Image Processing and Analysis Based on MATLAB

This paper used Matlab software to process and analyze images, focusing on the processing effects of different filtering methods on different types of noise. To verify the effectiveness of the filtering method, several common types of image noise were selected and noisy samples were generated. We used Matlab to filter these samples and compared the results of different filtering methods. We have implemented image processing and analysis based on various filtering methods using Matlab, compared and processed different types of noise, and revealed the advantages, disadvantages, and applicability of filtering methods. This study provides important references for image processing methods and application fields, which can effectively reduce image noise and improve image quality.