2-D electrophoresis gel registration using feature matching

We have carried out an evaluation of feature matching algorithms and developed an automatic method of 2-D electrophoresis gel registration. We show that bi-partite graph matching is not appropriate in this context, and have used a combination of shape context and euclidian distance measures together with closest point correspondence estimation in our scheme. Our final algorithm is shown to be more robust than a recently published image intensity based method.