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Bilevel thresholding of floc images

C. P. Chu, D. J. Lee, J. H. Tay

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Frequently encountered problems on bilevel thresholding of floc images include information loss during the image conversion stage, sampling bias owing to spatially inhomogeneous luminous flux over an optical microscope image or among a series of images, thresholding error adopting various algorithms, and resampling errors during three-dimensional reconstruction. Among these steps the choice of thresholding algorithm could yield most of the processing error. Ways to reduce the potential processing errors are discussed. © 2004 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)483-489
JournalJournal of Colloid and Interface Science
Volume273
Issue number2
DOIs
Publication statusPublished - 15 May 2004
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Algorithm
  • Errors
  • Floc
  • Image
  • Thresholding

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