The Marr Wavelet Pyramid and Multiscale Directional Image Analysis

The “Marr wavelet pyramid” is a wavelet decomposition that implements a multiscale version of the complex gradient-Laplace operator. It is closely linked to a multiresolution analysis of $ L _{ 2 } $ $ (\mathbb{R} ^{ 2 } $ ) and it has a fast filterbank implementation. We show how the Marr wavelets, which are essentially steerable, can be used to extract a multiscale version of the structure tensor. This yields a multiscale characterization of an image in terms of various features such as local gradient energy, orientation, and coherency. We provide an implementation of the proposed system as a Java plug-in for ImageJ, and we illustrate its applicability to directional image analysis which is useful in domains such as biological imaging and material science.

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Proceedings of the Sixteenth European Signal Processing Conference (EUSIPCO'08), Lausanne VD, Swiss Confederation

 Record created 2015-09-18, last modified 2018-03-17

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