Abstract
We define a visual pattern as an image feature with frequency components in a range of bands that are aligned in phase. A technique to partition an image into its visual patterns involves clustering of the band-pass filtered versions of the image according to a measure of congruence in phase or, equivalently, alignment in the filter’s responses energy maxima. In this paper we study some measures of dissimilarity between images and discuss their suitability to the specific task of misalignment estimation between energy maps.
The authors desire to acknowledge the Xunta de Galicia for their financial support of this work by means of the research project PGIDIT04TIC206005PR.
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Dosil, R., Fdez-Vidal, X.R., Pardo, X.M. (2005). Dissimilarity Measures for Visual Pattern Partitioning. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_36
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DOI: https://doi.org/10.1007/11492542_36
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