The two-dimensional continuous wavelet transform (CWT) is characterized by a rotation parameter, in addition to the usual translations and dilations. This enables it to detect edges and directions in images, provided a directional wavelet is used. In this paper, we review the general properties of the 2-D CWT, with special emphasis on the directional aspects. We discuss, in particular, the problem of wavelet calibration and we present several applications of directional wavelets.
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