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Related Experiment Video

Updated: May 29, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Multidimensional logical transforms.

K Preston1

  • 1Department of Electrical Engineering, Carnegie-Mellon University, Pittsburgh, PA 15213; Department of Radiation Health, University of Pittsburgh, Pittsburgh, PA 15260.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces novel, high-dimensional logical transforms using hexahedral and octahedral tessellations for real-time data and image analysis.

Related Experiment Videos

Last Updated: May 29, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Computer Science
  • Image Processing
  • Data Analysis

Background:

  • The logical transform is a fundamental operation in image processing and data analysis.
  • Existing methods have limitations in handling high-dimensional data efficiently.

Purpose of the Study:

  • To review existing logical transform methods.
  • To present novel theoretical and empirical developments in multidimensional logical transforms.
  • To explore applications in data and image analysis.

Main Methods:

  • Extension of the logical transform into three and four dimensions.
  • Utilizing hexahedral and octahedral tessellations for compact neighborhood representation.
  • Implementation of real-time processing via table lookup.

Main Results:

  • Demonstration of novel multidimensional logical transforms.
  • Achieved real-time processing capabilities through efficient tessellations.
  • Successful application of these transforms to data and image analysis.

Conclusions:

  • The developed logical transforms offer efficient, real-time processing for high-dimensional data.
  • Hexahedral and octahedral tessellations are key to enabling compact neighborhoods for these transforms.
  • This work advances the field of multidimensional image and data analysis.