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An Operant Intra-/Extra-dimensional Set-shift Task for Mice
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Published on: January 22, 2016

Constrained and dimensionality-independent path openings.

Cris L Luengo Hendriks1

  • 1Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden. cris@cb.uu.se

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 11, 2010
PubMed
Summary

Path operations in image analysis are enhanced for accurate length measurements. New constraints improve their use in granulometry for analyzing elongated structures directly from gray-value images.

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Area of Science:

  • Image analysis and computer vision
  • Morphological image processing
  • Computational imaging

Background:

  • Path openings and closings use flexible line segments for morphological operations.
  • These operations adapt to image structures, detecting non-straight lines efficiently.
  • Current path operations have limitations in length measurement due to path variations.

Purpose of the Study:

  • Introduce a dimensionality-independent implementation of path opening and closing.
  • Propose constraints to enhance path operations for accurate length measurements.
  • Utilize path operations in granulometry for direct length distribution analysis of elongated structures.

Main Methods:

  • Implemented a dimensionality-independent path opening and closing algorithm.
  • Developed and applied a constraint to path operations for length measurement accuracy.
  • Integrated constrained path operations into a granulometry framework.

Main Results:

  • Achieved a robust, dimensionality-independent implementation of path operations.
  • Demonstrated improved accuracy in length measurements using constrained path operations.
  • Successfully obtained length distributions of elongated structures from gray-value images without binarization.

Conclusions:

  • Constrained path operations offer a reliable method for length measurement in image analysis.
  • Granulometry with path operations provides direct length distribution analysis of elongated structures.
  • This approach avoids image binarization and object identification, simplifying analysis.