Asplünd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images
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Asplünd's metric, which is useful for pattern matching, consists in a double-sided probing, i.e. the over-graph and the sub-graph of a function are probed jointly. It has previously been defined for grey-scale images using the Logarithmic Image Processing (LIP) framework. LIP is a non-linear model to perform operations between images while being consistent with the human visual system. Our contribution consists in extending the Asplünd's metric to colour and multivariate images using the LIP framework. Asplünd's metric is insensitive to lighting variations and we propose a colour variant which is robust to noise.
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