Image Retrieval Using Gabor Wavelet Transform

This is an image retrieval program developed using Gabor wavelet transform technology. The system comprises multiple functional modules including feature extraction, feature matching, and result return mechanisms. The program performs image retrieval by extracting distinctive features from images and returns matched results to users. Through the implementation of Gabor wavelet transform, the program achieves more accurate feature extraction by simulating the human visual system's response to texture and orientation, thereby significantly improving retrieval performance. The algorithm typically involves convolving input images with a bank of Gabor filters at multiple scales and orientations to create robust feature vectors. The program demonstrates excellent extensibility, allowing customization and optimization according to user requirements. Key implementation aspects include: - Feature extraction using multi-scale Gabor filter banks - Distance-based feature matching algorithms (e.g., Euclidean distance or cosine similarity) - Result ranking and visualization modules With its robust architecture and advanced feature representation capabilities, this Gabor wavelet-based image retrieval program shows broad application prospects in both academic research and practical implementations such as medical imaging, security systems, and digital asset management.