Skip to main navigation Skip to search Skip to main content

Large image correction and warping in a cluster environment

  • Vijay S. Kumar
  • , Benjamin Rutt
  • , Tahsin Kurc
  • , Umit Catalyurek
  • , Joel Saltz
  • , Sunny Chow
  • , Stephan Lamont
  • , Maryann Martone
  • Ohio State University
  • University of California at San Diego

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper is concerned with efficient execution of a pipeline of data processing operations on very large images obtained from confocal microscopy instruments. We describe parallel, out-of-core algorithms for each operation in this pipeline. One of the challenging steps in the pipeline is the warping operation using inverse mapping based methods. We propose and investigate a set of algorithms to handle the warping computations on storage clusters. Our experimental results show that the proposed approaches are scalable both in terms of number of processors and the size of images.

Original languageEnglish
Title of host publicationProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06
DOIs
StatePublished - 2006

Publication series

NameProceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC'06

Keywords

  • Digital microscopy
  • Imaging
  • Out-of-core
  • Parallel computation
  • PC clusters
  • Warping

Fingerprint

Dive into the research topics of 'Large image correction and warping in a cluster environment'. Together they form a unique fingerprint.

Cite this