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Project 3 : Image Processing Topic: QuadTree & Circular Queue DUE: Sunday, March 3 1 , 1 1 : 5 9 pm Extra Credit for
Project : Image Processing
Topic: QuadTree & Circular Queue
DUE: Sunday, March :pm
Extra Credit for Early Submission!
Introduction
The QuadTree data structure is a special type of tree where the inner nodes have exactly four
children. The goal of this tree is to divide a D space into four quadrants and have each child
represent one of them. Each quadrant can further divide into four smaller quadrants and so forth
according to the level of detail we want to achieve. But not all the partitions need to have the same
level of detail, ie some leafs can be deeper than others. So in practice, the quadtree is usually not a
perfect tree. Figure depicts an example of a quadtree that does the minimum partitioning required in
order for each point in space A B C D E F to be represented by a distinct leaf.
Quadtrees have various applications in domains like image processing, spatial indexing, collision
detection, storing of sparse data, and others. This project is inspired by the use of quadtrees in image
processing but you dont need to have a background on this topic. All you need to know is described in
this document.
Figure : QuadTree partioning
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