Multi-scale Segmentation in Image Processing

In this documentation, I would like to introduce an image processing technique developed using the MATLAB environment: the multi-scale segmentation program. This program enables more refined processing and analysis of images through wavelet-based decomposition. By employing multi-scale segmentation, we can divide images into different resolution levels and process each scale independently using MATLAB's wavelet toolbox functions like wavedec2() and waverec2(). This approach allows us to better capture image details and features at various granularities. The MATLAB development environment provides powerful tools for implementing efficient and reliable image processing programs, including built-in functions for scale-space analysis and feature extraction. Key algorithmic components include wavelet coefficient thresholding and scale-specific region merging algorithms. Therefore, developing multi-scale segmentation programs using MATLAB's comprehensive image processing toolbox represents an optimal choice for implementing sophisticated segmentation methodologies.