An algorithm is described that can track edges determined by the Lapla
cian of Gaussian operator from low to high resolution. The algorithm d
oes not require a precomputed scale step size, but rather determines t
he step size adaptively by using the image content. A binary search is
carried out to find the topology of the scale-space image, which is t
hen used to track the edges. The proposed algorithm guarantees correct
edge tracking with step sizes considerably larger than has been previ
ously used.