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    Automatic Detection and Verification of Solar Features

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    Publication date
    2006
    Author
    Qahwaji, Rami S.R.
    Colak, Tufan
    Keyword
    Image processing; Solar imaging; Morphological transforms; Neural networks
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    A fast hybrid system for the automated detection and verification of active regions (plages) and filaments in solar images is presented in this paper. The system combines automated image processing with machine learning. The imaging part consists of five major stages. The solar disk is detected in the first stage, using a morphological hit-miss transform, watershed transform and Filling algorithm. An image-enhancement technique is introduced to remove the limb-darkening effect and intensity filtering is implemented followed by a modified region-growing technique to detect the regions of interest (RoI). The algorithms are tested on H- and CA II K3-line solar images that are obtained from Meudon Observatory, covering the period from July 2, 2001 till August 4, 2001. The detection algorithm is fast and it achieves false acceptance rate (FAR) error rate of 67% and false rejection rate (FRR) error rate of 3% for active regions, and FAR error rate of 19% and FRR error rate of 14% for filaments, when compared with the manually detected filaments in the synoptic maps. The detection performance is enhanced further using a neural network (NN), which is trained on statistical features extracted from the RoI and non-RoI. With the use of this combination the FAR has dropped to 2% for active regions and 4% for filaments.© 2006 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 15, 199-210, 2005
    URI
    http://hdl.handle.net/10454/2682
    Version
    Accepted Manuscript
    Citation
    Qahwaji RSR and Colak T (2005) Automatic Detection and Verification of Solar Features. International Journal of Imaging Systems and Technology. 15(4):199-210.
    Link to publisher’s version
    http://dx.doi.org/10.1002/ima.20053
    Type
    Article
    Collections
    Engineering and Informatics Publications

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