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Quadtree - Exploring Hierarchical Data Structures for Image Analysis - cover

Quadtree - Exploring Hierarchical Data Structures for Image Analysis

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

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Synopsis

What is Quadtree
 
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are the two-dimensional analog of octrees and are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The data associated with a leaf cell varies by application, but the leaf cell represents a "unit of interesting spatial information".
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Quadtree
 
Chapter 2: Octree
 
Chapter 3: R-tree
 
Chapter 4: Binary tree
 
Chapter 5: B-tree
 
Chapter 6: AVL tree
 
Chapter 7: Red-black tree
 
Chapter 8: Binary search tree
 
Chapter 9: Binary heap
 
Chapter 10: Segment tree
 
(II) Answering the public top questions about quadtree.
 
(III) Real world examples for the usage of quadtree in many fields.
 
Who this book is for
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Quadtree.
Disponible depuis: 14/05/2024.
Longueur d'impression: 174 pages.

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