Texture Image Feature Extraction Program Based on Non-Subsampled Wavelet Transform

This is a texture image feature extraction program based on non-subsampled wavelet transform (NSWT). The program utilizes advanced digital image processing techniques to analyze and process texture images, extracting distinctive feature information. These extracted features can be effectively applied to image recognition, image classification, and image retrieval applications. The implementation employs NSWT algorithms to maintain translation invariance, which is crucial for texture analysis, through redundant wavelet decomposition without downsampling. Key functions include multi-scale decomposition, feature vector calculation from wavelet coefficients, and energy-based feature extraction across different frequency bands. Through this program, researchers can gain deeper insights into texture image characteristics and obtain valuable information for various applications. The program's design and implementation have been meticulously debugged to ensure accuracy and stability in feature extraction results. With robust algorithmic foundations and practical implementation, this program demonstrates significant application potential in both academic research and engineering practice, particularly in computer vision and pattern recognition systems.