We have developed a new automated method of detection of Coronal Mass Ejections (CMEs) on LASCO-C2 synoptic maps based on their morphological properties.
The approach is based on an adaptive filtering and segmentation, followed by a merging with high-level knowledge step. The program builds a catalog which lists the CMEs detected in a given synoptic map together with their main estimated parameters: time of appearance, position angle, angular extent and average velocity.