Wavelet Theory-Based Image Edge Detection Implementation

This is a MATLAB-developed program that employs wavelet theory to accomplish image edge detection, serving as a highly practical solution. The implementation leverages wavelet transform algorithms to accurately identify edges within images while providing detailed edge information. By performing multi-scale wavelet decomposition on input images, the program effectively extracts high-frequency edge features through detail coefficients (horizontal, vertical, and diagonal components). The edge detection process typically involves thresholding wavelet coefficients and applying inverse transforms to reconstruct edge maps. Key functions include wavelet filter bank implementation, coefficient thresholding, and multi-resolution analysis. The program demonstrates robust extensibility and stability, supporting various image types through adaptable wavelet families (e.g., Daubechies, Symlets) and configurable decomposition levels. For image edge detection requirements, this program represents an ideal choice with its balance of algorithmic sophistication and practical applicability.