\magnification=1200 \baselineskip=20pt \nopagenumbers \font\big=cmr12 scaled \magstep2 \centerline{\bf STANFORD UNIVERSITY} \centerline{\bf DEPARTMENT OF STATISTICS} \centerline{\big DEPARTMENTAL SEMINAR} \bigskip \baselineskip=12pt \centerline{4:15 p.m., Tuesday, August 15, 2000} \centerline{Sequoia Hall Rm. 200} \centerline{(Cookies at 3:45 in 1st Floor Lounge)} \bigskip \baselineskip=15pt \centerline{\sl Jean-Pierre Antoine} \centerline{\sl Inst. Theoretical Physics} \centerline{\sl Cath. Univ. Louvain} \bigskip \centerline{\bf Two-dimensional directional wavelets as a symmetry scanner} \bigskip It is well-known that the 2-D continuous wavelet transform (CWT) is a powerful tool for detecting various features in a picture or a pattern. If the relevant features have a preferred direction, the analysis tool necessary for detecting them is the full 2-D CWT, including the rotation parameter, in addition to the usual translations and dilations, and one must choose a wavelet with some directional selectivity, such as a Morlet or a conical wavelet. This is standard, for instance, in directional filtering or edge detection, two classical problems in image processing. In this talk, we will describe another application of such directional wavelets, namely the determination of the symmetries of a pattern. Given a 2-D signal (an object, a pattern,$\ldots$), its scale-angle measure (or wavelet spectrum) is defined as the integral over positions of the squared modulus of its wavelet transform. This quantity may also be viewed as a partial energy density in the scale and angle variables, that is, in spatial frequency space. When the object is invariant (even approximately, or statistically), under discrete rotations, discrete dilations, or a combination of both, its scale-angle measure is a periodic function of the scale and angle variables. Thus, the symmetries in question can be read off the scale-angle measure. In addition, a voting algorithm allws one to list exaustively all such symmetries. This is illustrated on several types of pictures: a ``twisted snowflake''; a Penrose tiling; various dot patterns (octagonal, decagonal, $\dots$), closely linked to particular quasi-periodic lattices; a pattern generated by the Faraday instability in fluid dynamics; quasi-periodic patterns derived from the root diagram of certain infinite-dimensional Lie algebras. The technique could also be used for uncovering hidden symmetries of physical objects, such as quasicrystals or nanotubes, through their X-ray diffraction patterns. \bye