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ICASSP
2011
IEEE
12 years 10 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...
CIMAGING
2008
141views Hardware» more  CIMAGING 2008»
13 years 8 months ago
Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
We apply stabilized inverse diffusion equations (SIDEs) to segment microscopy images of materials to aid in analysis of defects. We extend SIDE segmentation methods and demonstrat...
Landis M. Huffman, Jeff P. Simmons, Ilya Pollak
ICIAR
2004
Springer
14 years 2 days ago
Video Segmentation Through Multiscale Texture Analysis
Segmenting a video sequence into different coherent scenes requires analyzing those aspects which allow finding the changes where a transition is to be found. Textures are an imp...
Miguel Alemán-Flores, Luis Álvarez-L...
CVPR
2010
IEEE
14 years 2 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
WCE
2007
13 years 7 months ago
Applying EM Algorithm for Segmentation of Textured Images
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
K. Revathy, V. S. Roshni