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» Steganalyzing Texture Images
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ICIP
2008
IEEE
14 years 2 months ago
Texture modulation-constrained image decomposition
Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constra...
Georgios Evangelopoulos, Petros Maragos
ICPR
2002
IEEE
14 years 8 months ago
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to ...
Miguel Angel García, Domènec Puig
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 9 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou
ISBI
2011
IEEE
12 years 11 months ago
Segmentation of anatomical branching structures based on texture features and graph cut
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despi...
ICASSP
2011
IEEE
12 years 11 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz