Quadtree: Erkundung hierarchischer Datenstrukturen für die Bildanalyse

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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.


Mayelana nomlobi

Fouad Sabry ist ehemaliger Regionalleiter der Geschäftsentwicklung für Anwendungen bei HP. Er schloss 1996 seinen Bachelor of Science in Computersystemen und Automatisierungstechnik ab und erwarb zwei Masterabschlüsse an der University of Melbourne (UoM) in Australien. 2008 erlangte er einen Master of Business Administration (MBA) und 2010 einen Master of Management in Information Technology (MMIT). Fouad verfügt über mehr als 30 Jahre Erfahrung in den Bereichen Informationstechnologie und Telekommunikation und arbeitete für lokale, regionale und internationale Unternehmen wie Vodafone und IBM. 2013 kam er zu HP und trug zur Geschäftsentwicklung in zahlreichen Märkten bei. Derzeit ist Fouad Unternehmer, Autor, Futurist und Gründer der Initiative One Billion Knowledge (1BK).

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