Theoretical Concepts and Technical Aspects on Image Segmentation

Theoretical Concepts and Technical Aspects on Image Segmentation

Anju Pankaj, Sonal Ayyappan
Copyright: © 2017 |Pages: 16
ISBN13: 9781522504986|ISBN10: 1522504982|EISBN13: 9781522504993
DOI: 10.4018/978-1-5225-0498-6.ch002
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MLA

Pankaj, Anju, and Sonal Ayyappan. "Theoretical Concepts and Technical Aspects on Image Segmentation." Intelligent Analysis of Multimedia Information, edited by Siddhartha Bhattacharyya, et al., IGI Global, 2017, pp. 32-47. https://doi.org/10.4018/978-1-5225-0498-6.ch002

APA

Pankaj, A. & Ayyappan, S. (2017). Theoretical Concepts and Technical Aspects on Image Segmentation. In S. Bhattacharyya, H. Bhaumik, S. De, & G. Klepac (Eds.), Intelligent Analysis of Multimedia Information (pp. 32-47). IGI Global. https://doi.org/10.4018/978-1-5225-0498-6.ch002

Chicago

Pankaj, Anju, and Sonal Ayyappan. "Theoretical Concepts and Technical Aspects on Image Segmentation." In Intelligent Analysis of Multimedia Information, edited by Siddhartha Bhattacharyya, et al., 32-47. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0498-6.ch002

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Abstract

Image segmentation is the process of partitioning a digital image into multiple segments (super pixels). Segmentation is typically used to locate objects and boundaries in images. The result of segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. Each of the pixels in a region is similar with respect to some characteristic or computed property. Adjacent regions are significantly different with respect to the same characteristics. A predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image is defined. An important characteristic of the method is its ability to preserve detail in low-variability image regions and ignoring detail in high variability regions. This chapter discuss basic aspects of segmentation and an application and presents a detailed assessment on different methods in image segmentation and discusses a case study on it.

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