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» Graph-Theoretic Approach to Clustering and Segmentation
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ICIAP
2003
ACM
14 years 29 days ago
Color matching by using tuple matching
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
Dirk Balthasar
ICIP
2009
IEEE
13 years 5 months ago
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
Rachid Hedjam, Max Mignotte
SOFSEM
2007
Springer
14 years 1 months ago
Straightening Drawings of Clustered Hierarchical Graphs
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar graph G = (V, E) with an assignment of the vertices to horizontal layers, a plane ...
Sergey Bereg, Markus Völker, Alexander Wolff,...
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
13 years 11 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
MMM
2010
Springer
157views Multimedia» more  MMM 2010»
14 years 4 months ago
A Novel Trajectory Clustering Approach for Motion Segmentation
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitr...