文摘
The contribution deals with the most important methods for decomposition of binary images into union of rectangles. The overview includes run-length encoding and its generalization, decompositions based on quadtrees, on the distance transformation, and a theoretically optimal decomposition based on maximal matching in bipartite graphs. We experimentally test their performance in binary image compression and in convolution calculation and compare their computation times and success rates.