  Coronal Mass Ejections (CMEs) are challenging objects to detect using
automated techniques, due to their high velocity and diffuse, irregular
morphology. A necessary step to automating the detection process is to first
remove the subjectivity introduced by the observer used in the current,
standard, CME detection and tracking method. Here we describe and demonstrate a
multiscale edge detection technique that addresses this step and could serve as
one part of an automated CME detection system. This method provides a way to
objectively define a CME front with associated error estimates. These fronts
can then be used to extract CME morphology and kinematics. We apply this
technique to a CME observed on 18 April 2000 by the Large Angle Solar
COronagraph experiment (LASCO) C2/C3 and a CME observed on 21 April 2002 by
LASCO C2/C3 and the Transition Region and Coronal Explorer (TRACE). For the two
examples in this work, the heights determined by the standard manual method are
larger than those determined with the multiscale method by approximately 10%
using LASCO data and approximately 20% using TRACE data.
