Title
Dissimilarity measures for visual pattern partitioning
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.
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 Dosil114510.37
Xosé R. Fdez-Vidal2935.87
Xose Manuel Pardo312613.25