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» An in Depth Comparison of Four Texture Segmentation Methods
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DICTA
2007
13 years 5 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda
IBPRIA
2009
Springer
13 years 2 months ago
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition
Abstract. This paper presents four spatio-temporal wavelet decompositions for characterizing dynamic textures. The main goal of this work is to compare the influence of spatial and...
Sloven Dubois, Renaud Péteri, Michel M&eacu...
ICIP
2009
IEEE
14 years 5 months ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
DAGM
2010
Springer
13 years 5 months ago
Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes
A multi-class traffic scene segmentation approach based on scene flow data is presented. Opposed to many other approaches using color or texture features, our approach is purely ba...
Alexander Barth, Jan Siegemund, Annemarie Mei&szli...
ICPR
2008
IEEE
13 years 10 months ago
Unsupervised mammograms segmentation
We present a multiscale unsupervised segmenter for automatic detection of potentially cancerous regions of interest containing fibroglandular tissue in digital screening mammogra...
Michal Haindl, Stanislav Mikes