  We consider regularization methods based on the coupling of Tikhonov
regularization and projection strategies. From the resulting constraint
regularization method we obtain level set methods in a straight forward way.
Moreover, we show that this approach links the areas of asymptotic
regularization to inverse problems theory, scale-space theory to computer
vision, level set methods, and shape optimization.
