Dosil Lago, RaquelFernández Vidal, Xosé RamónPardo López, Xosé Manuel2024-02-122024-02-122005Dosil, 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, Heidelberghttp://hdl.handle.net/10347/32756This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/11492542_36We 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.engCC BY-NC-ND 4.0http://creativecommons.org/licenses/by-nc-nd/4.0/Visual patternbook part10.1007/11492542_36open access