Fourier-domain based datacentric performance ranking of competing medical image processing algorithms

Srinivasan Rajagopalan, Richard Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


To accomplish a given computational task, a number of algorithmic and heuristic approaches can be employed to act upon the ever-varying input data. Depending upon the assumptions made regarding the data, the algorithm and the task, the end result from each of these approaches could be different. Currently, there does not exist an automatic, robust, precise, simple, and algorithm-independent measure to rate the accuracy of a multiplicity of algorithms to accomplish a given task on the given data. Lack of such a measure severely restricts the integration of "datacentric" computational tools. This paper proposes a Fourier-domain based method to robustly assess and rank the accuracy of a multiplicity of abstractions vis-a-vis the original data. The method is scalable across dimensions and data types and is blind to the task associated with the generation of the competing to-be-rated abstractions.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
StatePublished - Jun 22 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 III
ISSN (Print)1605-7422


OtherMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Cross correlation
  • Fourier-Mellin Transforms
  • Fourier-phase
  • Validation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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