Quadtree: Erkundung hierarchischer Datenstrukturen für die Bildanalyse

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.