Застосування методів штучного інтелекту до сегментації графічного образу
An efficient graph-based image segmentation algorithm (EGBIS) is considered. The aspects of an efficient algorithm implementation, in particular the use of “Disjoint sets union” data structure with its heuristics “path compression” and “union be rank”, are investigated. A suitability of the algorithm for the use in automated systems is reviewed. An applicability of cluster validity measures for image segmentation quality assessment is analyzed.