Enhanced Watershed Algorithm

This algorithm represents an enhanced version of traditional watershed segmentation, featuring superior object contour extraction capabilities and more precise boundary detection. The implementation includes marker-controlled flooding techniques and gradient magnitude computation to overcome over-segmentation issues common in standard watershed approaches. Successfully compiled and validated in MATLAB 6.5 environment, the code utilizes morphological operations and distance transforms for robust image segmentation and object recognition applications. Key functions include imimposemin for marker imposition and watershed for region partitioning. With potential applications in medical image processing (e.g., cell segmentation) and industrial inspection systems (e.g., defect detection), this algorithm demonstrates broad practical utility across multiple domains. The implementation features adjustable parameters for gradient thresholds and marker sizes to accommodate various image characteristics.