Image Segmentation Using Ridgelet and Wavelet Transforms
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Resource Overview
Detailed Documentation
This program implements an image segmentation algorithm based on ridgelet and wavelet transforms, achieving efficient and accurate image segmentation through multi-scale decomposition and feature extraction. The algorithm utilizes wavelet transforms for multi-resolution analysis and ridgelet transforms for directional feature detection in images. The implementation includes sample images that allow users to better understand and validate the algorithm's performance. Additionally, the program provides visualization tools and parameter adjustment interfaces, enabling real-time observation and optimization of the segmentation process. Key functions include wavelet coefficient computation, ridgelet transform implementation for directional sensitivity, and threshold-based region merging. Users can adjust parameters such as decomposition levels, threshold values, and directional parameters to achieve optimal segmentation results through an interactive interface.
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