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An Algorithm for Converting Rasters to Quadtrees

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1 Author(s)
Hanan Samet ; Department of Computer Science, University of Maryland, College Park, MD 20742.

An algorithm is presented for constructing a quadtree for a binary image given its row-by-row description. The algorithm processes the image one row at a time and merges identically colored sons as soon as possible, so that a minimal size quadtree exists after processing each pixel. This method is spacewise superior to one which reads in an entire array and then attempts to build the quadtree.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-3 ,  Issue: 1 )