Solar flare tracking using image processing techniques

The automatic property measurement of solar flares through their complete cyclic development is valuable in the studies of solar flares. From the analysis of solar H/spl alpha/ images, we are able to use a support vector machine (SVM) to automatically detect flares, and apply image segmentation techniques to compute the properties of solar flares. We also present our solution for automatically tracking the motion of two-ribbon flares and measuring their movement direction and speed.