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» Unsupervised Texture Segmentation
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JIIS
2002
114views more  JIIS 2002»
13 years 7 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 8 months ago
Detection and Demarcation of Tumor using Vector Quantization in MRI images
Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast canc...
H. B. Kekre, Tanuja K. Sarode, Saylee M. Gharge
CBMS
2005
IEEE
14 years 1 months ago
Texture-Based Image Retrieval for Computerized Tomography Databases
In this paper we propose a CBIR system for retrieval ofnormal anatomical regions present in Computed Tomography studies of the chest and abdomen. We implement and compare eight si...
Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan...
BILDMED
2008
174views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features
Abstract. Focal cortical dysplasia (FCD) is a frequent cause of medically refractory partial epilepsy. The visual identification of FCD lesions on magnetic resonance images (MRI) i...
Christian Loyek, Friedrich G. Woermann, Tim W. Nat...
CVPR
2010
IEEE
14 years 4 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet