Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11492542_36 | IbPRIA (2) |
Keywords | Field | DocType |
misalignment estimation,frequency component,band-pass filtered version,dissimilarity measure,responses energy maximum,image feature,specific task,visual pattern,visual pattern partitioning,energy map,band pass filter,image features | Computer vision,Pattern recognition,Band-pass filter,Computer science,Image processing,Artificial intelligence,Mutual information,Cluster analysis,Partition (number theory),Congruence (geometry),Maxima,Visual patterns | Conference |
Volume | ISSN | ISBN |
3523 | 0302-9743 | 3-540-26154-0 |
Citations | PageRank | References |
5 | 0.91 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Raquel Dosil | 1 | 145 | 10.37 |
Xosé R. Fdez-Vidal | 2 | 93 | 5.87 |
Xose Manuel Pardo | 3 | 126 | 13.25 |