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Pulling, Pushing, and Grouping for Image Segmentation

  • Guoping Qiu
  • Kin-Man Lam
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

This paper presents a novel computational visual grouping method, termed pulling, pushing and grouping, or PPG for short. Visual grouping is formulated as a functional optimisation process. Our computational function has three terms, the first pulls similar visual cues together, the second pushes different visual cues apart, and the third groups spatially adjacent visual cues without regarding their visual properties. An efficient numerical algorithm based on the Hopfield neural model is developed for solving the optimisation process. Experimental results on various intensity, colour and texture images demonstrate the effectiveness of the new method.

Keywords

Image Segmentation Texture Image Computational Function Visual Property Visual Grouping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Guoping Qiu
    • 1
  • Kin-Man Lam
    • 2
  1. 1.School of Computer ScienceThe University of Nottingham 
  2. 2.Dept. of Electronic and Information EngThe Hong Kong Polytechnic University 

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