logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Multi-phase image modelling with excursion sets

delete2000-01-01
delete13
PRE
AI
D
David J. Nott
R
Richard J. Wilson
DOI：10.1016/S0165-1684(99)00116-4delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Excursion sets of random fields, which are obtained by truncating a random field at some level, can be used to define random set models for binary images. We discuss some image models based on excursion sets which are appropriate for multi-phase image data. Parameter estimation for the multi-phase models is discussed, and the methods are applied to some images of core samples of sulphide ores. (C) 2000 Elsevier Science B.V. All rights reserved.
Keywords:
excursion set
random field
image processing
random set
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
9.9K
Citations:
1.7W

Organization

No organization information available