Modified Region Growing Algorithm from Gonzalez's Digital Image Processing

The region growing algorithm presented in Gonzalez's "Digital Image Processing" serves as a fundamental image segmentation technique widely adopted in computer vision applications. To optimize its performance and adaptability, we have implemented significant modifications to the original methodology. Our enhanced function incorporates three specialized seed point selection mechanisms: grayscale-value based selection (utilizing histogram analysis and thresholding), coordinate-based positional selection (enabling precise region initialization), and interactive single-seed selection (via graphical user interface integration). These implementations employ matrix operations for efficient pixel neighborhood evaluation and queue-based traversal algorithms for region expansion. The introduced methods substantially improve segmentation accuracy while maintaining computational efficiency, making the technique more suitable for practical applications requiring precise boundary detection and adaptive region identification.