Imperial College London
Portrait Picture

Professor David van Dyk

Faculty of Natural Sciences, Department of Mathematics

Chair in Statistics
 
 
 
//

Contact

 

+44 (0)20 7594 8574d.van-dyk Website

 
 
//

Assistant

 

Mr David Whittaker +44 (0)20 7594 8481

 
//

Location

 

539Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Stenning:2013:10.1007/978-1-4614-3520-4-31,
author = {Stenning, D and Kashyap, V and Lee, TCM and Van, Dyk DA and Alex, Young C},
doi = {10.1007/978-1-4614-3520-4-31},
pages = {329--342},
title = {Morphological image analysis and sunspot classification},
url = {http://dx.doi.org/10.1007/978-1-4614-3520-4-31},
year = {2013}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - The morphology of sunspot groups is predictive both of their future evolution and of explosive associated events higher in the solar atmosphere, such as solar flares and coronal mass ejections. To aid in this prediction, sunspot groups are manually classified according to one of a number of schemes. This process is both laborious and prone to inconsistencies stemming from the subjective nature of the classification. In this paper we describe how mathematical morphology can be used to extract numerical summaries of sunspot images that are relevant to their classification and can be used as features in an automated classification scheme. We include a general overview of basic morphological operations and describe our ongoing work on detecting and classifying sunspot groups using these techniques. © Springer Science+Business Media New York 2013.
AU  - Stenning,D
AU  - Kashyap,V
AU  - Lee,TCM
AU  - Van,Dyk DA
AU  - Alex,Young C
DO  - 10.1007/978-1-4614-3520-4-31
EP  - 342
PY  - 2013///
SP  - 329
TI  - Morphological image analysis and sunspot classification
UR  - http://dx.doi.org/10.1007/978-1-4614-3520-4-31
ER  -
Download