yes / This paper presents a hybrid system for automatic detection and McIntosh-based classification of sunspot groups on SOHO/MDI white-light images using active-region data extracted from SOHO/MDI magnetogram images. After sunspots are detected from MDI white-light images they are grouped/clustered using MDI magnetogram images. By integrating image-processing and neural network techniques, detected sunspot regions are classified automatically according to the McIntosh classification system. Our results show that the automated grouping and classification of sunspots is possible with a high success rate when compared to the existing manually created catalogues. In addition, our system can detect and classify sunspot groups in their early stages, which are usually missed by human observers. / EPSRC
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/4091 |
| Date | 2007 December 1916 |
| Creators | Colak, Tufan, Qahwaji, Rami S.R. |
| Publisher | Springer |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted Manuscript |
| Rights | © 2007 Springer. Reproduced in accordance with the publisher's self-archiving policy. Original publication is available at http://www.springerlink.com |
| Relation | http://www.springerlink.com/content/15g5u9p7346202h3/?p=eb5d493b67e243b481b72415e2851fe3&pi=0 |
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