Extraction of Curvelet Features for Color or Grayscale Images

This source code provides functionality for extracting Curvelet features from color or grayscale images, which is particularly valuable for texture image segmentation applications. The implementation employs the Curvelet transform to capture directional and anisotropic characteristics at multiple scales, enabling superior representation of image edges and textures compared to traditional wavelet transforms. Through Curvelet feature extraction, we can achieve more comprehensive understanding of structural patterns and textural information within images, facilitating enhanced analysis and processing. The algorithm processes images by first converting color images to appropriate color spaces (if needed), then applying the Curvelet decomposition to capture directional features across different scales. This technique finds applications in numerous fields including medical image processing, satellite imagery analysis, and material science. Therefore, this codebase offers broad implementation prospects worthy of deeper investigation and exploration.