BILDSEGMENTIERUNG UND GRENZENERKENNUNG

摘要

A method and apparatus for clustering data, particularly regarding an image, that constructs a graph [S1] in which each node of the graph represents a pixel of the image, and every two nodes represent neighboring pixels associated by a coupling factor. Block pixels are selected with unselected neighboring pixels [S2] coupled with a selected block to form aggregates. The graph is coarsened recursively [S3] by performing iterated weighted aggregation to form larger blocks (aggregates) and obtain hierarchical decomposition of the image while forming a pyramid structure over the image. Saliency of segments is detected [S5] in the pyramid, and by computing recursively, a degree of attachment of every pixel to each of the blocks in the pyramid. The pyramid is scanned from coarse to fine starting at the level a segment is detected, to lower levels and rebuilding the pyramid before continuing to the next higher level. Relaxation sweeps sharpen the boundaries of a segment [S6].