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Operations on Images Using Quad Trees
February 1979 (vol. 1 no. 2)
pp. 145-153
Gregory M. Hunter, MEMBER, IEEE, Decisions and Designs, Inc., McLean, VA 22101.
Kenneth Steiglitz, MEMBER, IEEE, Department of Electrical Engineering and Computer Science, Princeton University, Princeton, NJ 08540.
A quad tree for representing a picture is a tree in which successively deeper levels represent successively finer subdivisions of picture area. An algorithm is given for superposing N quad trees in time proportional to the total number of nodes in the trees. Warnock-type algorithms are then presented for building the quad tree for the picture of the boundary of a polygon, and for coloring the interior of such a polygon. These algorithms take O(v + p + q) time, where v is the number of polygon vertices, p is the polygon perimeter, and q is a resolution parameter. When the resolution q is fixed, these algorithms are asymptotically optimal.
Gregory M. Hunter, Kenneth Steiglitz, "Operations on Images Using Quad Trees," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 1, no. 2, pp. 145-153, Feb. 1979, doi:10.1109/TPAMI.1979.4766900
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