Graph Theory and its Applications in Image Processing : An Overview

Authors

  • Mamatha N  Lecturer, Department of Science, Karnataka (Govt) Polytechnic, Mangalore, Karnataka, India.
  • Bhuvaneshwari  Lecturer, Department of Computer Science and Engineering, Government polytechnic for women, Bondel Mangalore, Karnataka, India.
  • Bhagyalaxmi B S  Lecturer, Department of Computer Science and Engineering, Department of Technical education, Government Polytechnic for Women, Ramanagara, 562159, Karnataka, India.

Keywords:

Vertices, Edges, Graph Theory, Adjacency Matrices, Graph Traversal Algorithms

Abstract

In a graphical setting, the nodes are referred to as vertices and the connections as edges. Graph theory is a robust area of mathematics that seeks to facilitate the study of relationships between various things. Today, it suffices to say that many fields of sciences and technologies are based on the graph theory which, by the way, was introduced in 1736 by Leonhard Euler in the light of his the famous problem of the Seven Bridges of Königsberg. This strong theory enables modeling and solving of very complex problems, like those related to networked systems. The primary components of the graphs: vertices, edges, adjacency matrices, and graph traversal algorithms allow the representation of data structures, geographical data, and multi-level hierarchical structures. Graph theory is used extensively in other disciplines such as optimization, bioinformatics, computer science, logistics, and AI.

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Published

2019-02-12

Issue

Section

Research Articles

How to Cite

[1]
Mamatha N, Bhuvaneshwari, Bhagyalaxmi B S, " Graph Theory and its Applications in Image Processing : An Overview " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.662-668, January-February-2019.