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Image segmentation using information bottleneck method.

Anton Bardera1, Jaume Rigau, Imma Boada

  • 1The Graphics and Imaging Laboratory, Universityof Girona, Spain. anton.bardera@ima.udg.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 19, 2009
PubMed
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This study introduces novel image segmentation and clustering algorithms using a hard information bottleneck method. These algorithms optimize image partitioning and histogram analysis for better representation with minimal information loss.

Area of Science:

  • Computer Vision
  • Information Theory
  • Image Processing

Background:

  • Image segmentation is a key research area in image processing.
  • The information bottleneck (IB) method offers a framework for data compression and feature extraction.

Purpose of the Study:

  • To develop new image segmentation and clustering algorithms based on a hard information bottleneck (hIB) method.
  • To optimize image partitioning and representation by minimizing information loss.

Main Methods:

  • A split-and-merge algorithm is proposed, defining an information channel between image regions and intensity histogram bins.
  • Mutual information gain maximization is used for image partitioning, and mutual information loss minimization for region merging.
  • A histogram clustering algorithm is derived from the inversion of the information channel.

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  • Two clustering algorithms are presented for multimodal image registration using the IB method.

    • Main Results:

    • The proposed algorithms demonstrate effective image segmentation and clustering.
    • Experiments on 2-D and 3-D images validate the performance of the developed methods.
    • The application of the IB method to image registration is explored.

    Conclusions:

    • The hard information bottleneck method provides a robust framework for developing advanced image processing algorithms.
    • The presented algorithms offer efficient solutions for segmentation, clustering, and multimodal image registration.