SLIC超分辨率SAR分割算法

slic.m Implementation of Achanta et al's SLIC Superpixels. spdbscan.m Clustering of superpixels using the DBSCAN algorithm. regionadjacency.m Computes adjacency matrix for an image of labeled regions, as might be produced by a superpixel or graph cut algorithm. cleanupregions.m Cleans up small regions in a segmented image. (slow and a bit flakey, use mcleanupregions.m below) mcleanupregions.m Morphological clean up of small regions in a segmented image. (needs circularstruct.m) finddisconnected.m Finds groupings of disconnected labeled regions. Used by mcleanupregions.m to reduce execution time. makeregionsdistinct.m Ensures labeled regions are distinct. renumberregions.m Renumbers regions in a labeled image so that they range from 1:maxRegions. drawregionboundaries.m Draw boundaries of labeled regions in an image. maskimage.m Apply mask to an image. dbscan.m Basic implementation of DBSCAN clustering testdbscan.m Function to test/demonstrate dbscan.m Example illustrating how you can use the functions above to perform basic segmentation using SLIC superpixels and DBSCAN clustering. rgb2lab.m Convenience function for converting an image from RGB to L*a*b* colour space. circularstruct.m Generates a circular structuring element, used by mcleanupregions.m