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JVCIR
2006
85views more  JVCIR 2006»
13 years 10 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan
ICIP
2006
IEEE
14 years 11 months ago
CBIR in Distributed Databases using a Multi-Agent System
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural" distribution of these data over the network. Hence, we in...
David Picard, Matthieu Cord, Arnaud Revel
TIP
2008
144views more  TIP 2008»
13 years 9 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras
ICPR
2008
IEEE
14 years 11 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...
DCG
2007
83views more  DCG 2007»
13 years 10 months ago
The Genus of a Digital Image Boundary Is Determined by Its Foreground, Background, and Reeb Graphs
Weprovethatthegenusoftheboundaryofadigitalimageispreciselyhalfofthe sum of the cycle ranks of three particular graphs: the “foreground graph” and “background graph,” which ...
Lowell Abrams, Donniell E. Fishkind