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Related Experiment Videos

Mumford and Shah functional: VLSI analysis and implementation.

Maurizio Martina1, Guido Masera

  • 1Center for Multimedia Radio Communications, Dipartimento di Elettronica, Politecnico di Torino, Italy. maurizio.martina@polito.it

IEEE Transactions on Pattern Analysis and Machine Intelligence
|March 11, 2006
PubMed
Summary

This study analyzes the Mumford and Shah functional for real-time applications like motion estimation. It presents a fast VLSI architecture and implementation results, focusing on computational complexity and precision.

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Area of Science:

  • Computer Vision
  • Image Processing
  • VLSI Design

Background:

  • The Mumford and Shah functional is crucial for image segmentation.
  • Real-time applications demand efficient computational methods.

Purpose of the Study:

  • Analyze the Mumford and Shah functional for implementation.
  • Evaluate its complexity for real-time applications.
  • Investigate sensitivity to finite precision.

Main Methods:

  • Developed a fast VLSI architecture for the Mumford and Shah functional.
  • Implemented the functional on 0.13 micrometer standard cells technology.
  • Analyzed computational complexity and finite precision effects.

Main Results:

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  • Demonstrated the feasibility of real-time implementation.
  • Quantified the computational complexity.
  • Presented successful implementation results on advanced technology.

Conclusions:

  • The Mumford and Shah functional can be efficiently implemented for real-time applications.
  • VLSI architecture design is key to achieving performance.
  • Finite precision considerations are important for practical deployment.