M. Qu, F. Y. Shih, J. Jing and H. Wang, “Automatic Solar Filament Detection Using Image Processing Techniques,” Solar Physics, Vol. 228, No. 1-2, 2005, pp. 119- 135. - References

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M. Qu, F. Y. Shih, J. Jing and H. Wang, “Automatic Solar Filament Detection Using Image Processing Techniques,” Solar Physics, Vol. 228, No. 1-2, 2005, pp. 119- 135. http://dx.doi.org/10.1007/s11207-005-5780-1

has been cited by the following article:

TITLE: Adaptive Enhancement Techniques for Solar Images

AUTHORS: Mohammad A. A. Al-Rababah, Abdusamad Al-Marghilani, Mohammed M. Al-Shomrani, Ibrahim A. Atoum

KEYWORDS: Image Processing; Solar Imaging; Image Enhancement; Linear Transformation Functions; Limb Darken-ing; Solar Disk; Limb Fitting

JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.4, October 9, 2013

ABSTRACT: Radio astronomy radio telescope plays the role of a linear operator, affecting the function that describes the object of research, formation of image of a monitored object. This paper presents methods for reconstruction and correction of solar radio images using the algorithm of rejections, the updated Weiner-filter, and the method CLEAN designed by Hegbomom (Pseudonym, 2009) for point sources. It is the process of numerical convolution in signal handling, an algorithm for separating weak-contrast formations on the solar which represents most points of the actual limb by using the ellipse equation. Consequently, the filling algorithm is applied by moving from the center to the ellipse points and filling each point by solar image data. Finally, a linear limb-darkening expression is used to remove the limb darkening. Different examples of the intermediate and final results are presented in addition to the developed algorithm.