Explore MATLAB source code curated for "连通性" with clean implementations, documentation, and examples.
Distribution network planning must satisfy radial and connectivity constraints. The randomly generated initial population in distribution network expansion planning problems often contains numerous infeasible solutions. The root node fusion method can be employed to ensure solution feasibility by restructuring network topology through intelligent node merging operations.
Image segmentation involves partitioning an image into meaningful, complementary, and overlapping regions. Prior to segmentation, the number of image regions is unknown. Post-segmentation, each region must satisfy both homogeneity and connectivity criteria. This complex process is typically studied for specific image types or applications. Threshold-based segmentation determines an optimal threshold value to classify pixels as foreground (1) or background (0) by comparing pixel intensities. Key algorithms include direct thresholding, Otsu's method (inter-class variance maximization), watershed algorithm, minimum error thresholding, and maximum entropy methods. Code implementations typically involve histogram analysis, threshold calculation, and pixel classification operations.
Fast parallel thinning algorithm with guaranteed connectivity preservation for processed curves.
Fast Parallel Thinning Algorithm for Efficient Skeleton Extraction
Image segmentation through region growing algorithm with code implementation insights
Classic Region Growing Algorithm