Abstract
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.
This work has been supported by the grant No. P103/11/1552 of the Czech Science Foundation.
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Suk, T., Höschl, C., Flusser, J. (2012). Rectangular Decomposition of Binary Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P., Zemčík, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2012. Lecture Notes in Computer Science, vol 7517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33140-4_19
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DOI: https://doi.org/10.1007/978-3-642-33140-4_19
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