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Interactive Image Segmentation Techniques

  • Jia He
  • Chang-Su Kim
  • C.-C. Jay Kuo
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Interactive image segmentation techniques are semiautomatic image processing approaches. They are used to track object boundaries and/or propagate labels to other regions by following user guidance so that heterogeneous regions in one image can be separated. User interactions provide the high-level information indicating the “object” and “background” regions. Then, various features such as locations, color intensities, local gradients can be extracted and used to provide the information to separate desired objects from the background. We introduce several interactive image segmentation methods according to different models and used image features.

Keywords

Graph-cut Random walks Active contour Matching attributed relational graph Region merging Matting 

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.School of Electrical EngineeringKorea UniversitySeoulRepublic of South Korea
  3. 3.Department of Electrical EngineeringUniversity of Southern CaliforniaLos AngelesUSA

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