A Square Grid Structure for Target Detection of Solar Activities

Astronomical image background is complicated and contains a lot of noise. To identify and segment astronomical activities effectively and automatically from an astronomical image is difficult and a research hot-spot. This paper proposes a target detection method for solar activity based on the structure of square grid (GBTD). For this method, the solar image is divided into a square grid structure with the same size. Based on multiply-thresholds selection strategy and GBTD strategy, it segments the target area and background area. The experimental results show that this method delivers satisfactory performance in accuracy and time-cost; it also produces an obvious anti-jamming performance for image noise. GBTD method provides a general image segmentation method for investigations of various types of solar images; it also provides a feasible method for solving the problem of mass astronomical data storage.