Classification of coal images by a multi-scale segmentation techniques

J. Dehmeshki, M. F. Daemi, N. J. Miles, B. P. Atkin, R. E. Marston

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)


The development of an automated and effective scheme for classifying various major maceral groups within polished coal blocks is detailed. The purpose of segmentation is to partition the images into various types of macerals. A multiscale approach to segmentation is characterized in which the outcome of each process at a given resolution is used to control the other process at the next resolution. At each level, segmentation is carried out by maximizing the a posteriori probability, which is achieved by a relaxation algorithm similar to Beseg's. The segmentation approximation over a hierarchy of resolutions is conducted to speed up the estimation process and to include large scale properties of each pixel.

Original languageEnglish
Number of pages6
Publication statusPublished - 1995
Externally publishedYes
EventInternational Symposium on Computer Vision, ISCV'95, Proceedings - Coral Gables, FL, USA
Duration: 21 Nov 199523 Nov 1995


ConferenceInternational Symposium on Computer Vision, ISCV'95, Proceedings
CityCoral Gables, FL, USA

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


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