Automated Detection of Filaments and their Disappearance using Full Disc Hα Images
نویسندگان
چکیده
A new algorithm is developed that automatically detects filaments on the solar disc in Hα images. Preprocessing of Hα images include corrections for limb darkening and foreshortening. Further, by applying suitable intensity and size thresholds, filaments are extracted, while other solar features e.g. sunspots and plages are removed. Filaments attributes such as their position on the solar disc, total area, length, and number of fragments are determined. In addition, every filament is also labelled with a unique number. The algorithm is capable of following a particular filament through successive images which allows us to detect the changes and disappearance of the same, and thus provides a realtime warning of eruptive filaments. This aspect would prove to be of particular importance in studies pertaining to space weather. The algorithm will eventually be integrated with an upcoming telescope at Udaipur Solar Observatory for real time monitoring of activated/eruptive filaments.
منابع مشابه
Development of an Automatic Filament Disappearance Detection System
This paper presents an efficient and automatic method for detecting filament disappearances. This method was applied to the Big Bear Solar Observatory's (BBSO) full-disk Hα images. The initial step is to detect the filaments in the solar image, then determine if they are growing, stable or disappearing. If a disappearing filament is found, the solar community can be automatically alerted in nea...
متن کاملA Threshold and Region Growing Combined Method for Filament Disappearance Area Detection in Solar Images
This paper presents one efficient automatic detection method for filament disappearance. The method was applied to the Big Bear Solar Observatory (BBSO) fulldisk Hα images. The initial step is to detect the filament pixels by the threshold method. Then, using a regiongrowing method, we merge the adjacent detected pixels to obtain all filament areas. Based on these two steps, an automatic filame...
متن کاملAdvanced Automated Solar Filament Detection and Characterization Code: Description, Performance, and Results
We present a code for automated detection, classification, and tracking of solar filaments in full-disk Hα images that can contribute to Living With a Star science investigations and space weather forecasting. The program can reliably identify filaments; determine their chirality and other relevant parameters like filament area, length, and average orientation with respect to the equator. It is...
متن کاملNovel Automated Method for Minirhizotron Image Analysis: Root Detection using Curvelet Transform
In this article a new method is introduced for distinguishing roots and background based on their digital curvelet transform in minirhizotron images. In the proposed method, the nonlinear mapping is applied on sub-band curvelet components followed by boundary detection using energy optimization concept. The curvelet transform has the excellent capability in detecting roots with different orient...
متن کاملFace Detection with methods based on color by using Artificial Neural Network
The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009