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A Review for Image Segmentation Approaches Using Module-Based Framework

  • Guannan JiangEmail author
  • Chin Yeow Wong
  • Stephen Ching-Feng Lin
  • Ngaiming Kwok
Conference paper
  • 1.7k Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 291)

Abstract

Image segmentation assists image understanding by perceptually partitioning an image into several homogeneous regions. This topic has been reported in a vast amount of literature. The techniques covered in the literature, however, are often concealed in specific applications with no explicit categorization. In order to cater the needs for both reasonably choosing methods under various circumstances and guiding further algorithm development, a review that can reveal the characteristics of typical segmentation approaches under detailed categorization is in demand. A natural categorization of the segmentation techniques with respect to their modeling methods is advocated here. Using such categorization as basis, different segmentation methods are presented within a general module-based framework proposed in this paper, where investigation for each module is carried out in a coherent manner.

Keywords

Image segmentation Categorization Module-based framework 

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Guannan Jiang
    • 1
    Email author
  • Chin Yeow Wong
    • 1
  • Stephen Ching-Feng Lin
    • 1
  • Ngaiming Kwok
    • 1
  1. 1.School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyAustralia

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