Detecting the Sun’s active region using image processing techniques

Abstract

The term ‘space weather’ refers to adverse conditions on the Sun that could affect the structures of space or terrestrial technology and risk human health or life. Flares produce effects that span the electromagnetic spectrum. During a flash, they emit x-rays and ultraviolet radiation, resulting in extremely high temperatures. The purpose of this work is to create a new algorithm for the identification of solar flares and active regions of the Sun, thus minimizing harm to spacecraft operations in orbit. An algorithm was developed for the automatic detection of active regions of the Sun (sunspots, solar flares), based on methods of image enhancement, segmentation, pattern recognition and mathematical morphology. The sun’s surface also displays visible sunspots located in regions of the Sun that are magnetically active and whose number is an indication of the Sun’s magnetic activity. In tracking and predicting solar activity, the identification and classification of sunspots are useful techniques. The main objective of this paper is to detect sunspots using images from the Solar Dynamics Observatory.