Graph Based Segmentation of Digital Images

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Author(s): B.K. Tripathy (VIT University, India)and P.V.S.S.R. Chandra Mouli (VIT University, India)
Copyright: 2013
Pages: 18
Source title: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)and Paramartha Dutta (Visva-Bharati University, India)
DOI: 10.4018/978-1-4666-2518-1.ch007

Keywords: Artificial Intelligence / Computational Intelligence / Computer Science & IT / Engineering Science Reference

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Abstract

Image Segmentation is the process of dividing an image into semantically relevant regions. The problem is still an active area due to wide applications in object detection and recognition, image retrieval, image classification, et cetera. The problem is challenging due to its subjective nature. Many researchers addressed this problem by exploring graph theoretic principles. The key idea is the transformation of segmentation problem into graph partitioning problem by representing the image as a graph. The aim of this chapter is to study various graph based segmentation algorithms.

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