Automated grain sizing using mark-based watershed algorithm

Han Sheng Chuang, Chao Hung Lin

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents a method based on mark-based watershed algorithm to automatically extract grains and determine grain sizes from images. Markers generated by the proposed approaches represent rough locations of grains and aperture. Instead of selecting pixels with local minima as marks, we select markers with a priori knowledge, enabling our approach to efficiently ease the problem of over-segmentation in traditional watershed algorithm. The grains patches are extracted correctly after merging the other fragmental patches using both the color and shape properties. Finally, the distribution of grain size is calculated by fitting an ellipse for each detected grain.

Original languageEnglish
Pages2332-2335
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 2012 Jul 222012 Jul 27

Other

Other2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
CountryGermany
CityMunich
Period12-07-2212-07-27

All Science Journal Classification (ASJC) codes

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

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