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» Steganalyzing Texture Images
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ICIP
2000
IEEE
14 years 9 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...
WSCG
2004
217views more  WSCG 2004»
13 years 9 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman
PCM
2005
Springer
142views Multimedia» more  PCM 2005»
14 years 1 months ago
Texture Coordinate Compression for 3-D Mesh Models Using Texture Image Rearrangement
Previous works related to texture coordinate coding of the three-dimensional(3-D) mesh models employed the same predictor as the geometry coder. However, discontinuities in the tex...
Sung-Yeol Kim, Young-Suk Yoon, Seung Man Kim, Kwan...
SIAMIS
2010
156views more  SIAMIS 2010»
13 years 2 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
ICIP
2004
IEEE
14 years 9 months ago
Advances in texture analysis-energy dominant component & multiple hypothesis testing
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...