Dynamic local thresholding technique for sea ice classification

Donna Haverkamp, Leen Kiat Soh, Costas Tsatsoulis

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

23 Scopus citations

Abstract

Many methods of sea ice classification are based upon global thresholding techniques. In thresholding, points are selected according to the histogram of an image and are used to achieve a representation of that image in a limited number of gray levels, or classifications. In this paper we present our work, in which we developed and implemented a local thresholding technique adapted for sea ice classification. Our method offers both accuracy and flexibility to standard global thresholding methods. Because the local threshold is determined by examining small areas of the image, local gray-level changes which may not be distinguished by a global thresholding technique can be detected through local inspection. This leads to the selection of a more appropriate threshold level for each area of the image. In addition, the procedure of threshold selection used requires no user interaction whatsoever.

Original languageEnglish (US)
Title of host publicationBetter Understanding of Earth Environment
EditorsSadao Fujimura
PublisherPubl by IEEE
Pages638-640
Number of pages3
ISBN (Print)0780312406
Publication statusPublished - Dec 1 1993
EventProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium - Tokyo, Jpn
Duration: Aug 18 1993Aug 21 1993

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2

Other

OtherProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
CityTokyo, Jpn
Period8/18/938/21/93

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ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Haverkamp, D., Soh, L. K., & Tsatsoulis, C. (1993). Dynamic local thresholding technique for sea ice classification. In S. Fujimura (Ed.), Better Understanding of Earth Environment (pp. 638-640). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2). Publ by IEEE.