Wavelet-Based Feature Extraction for Processed Images

This is a MATLAB-based program that utilizes wavelet transforms for feature extraction from processed images. The implementation efficiently captures image details and textures through multi-level wavelet decomposition, typically using functions like wavedec2 for 2D discrete wavelet transform. The program extracts discriminative features by analyzing approximation and detail coefficients (horizontal, vertical, diagonal) at different resolution levels. Featuring an intuitive graphical user interface (GUI) built with MATLAB's App Designer or GUIDE, it allows users to easily control parameters such as wavelet type (e.g., Haar, Daubechies), decomposition level, and feature selection methods. The algorithm includes preprocessing normalization and post-processing feature dimension reduction capabilities. Whether you're a professional image processing specialist or a beginner, this program simplifies image analysis through its robust wavelet-based feature extraction pipeline. Try it now - you'll appreciate this practical tool for effective texture analysis and pattern recognition!