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» Steganalyzing Texture Images
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ICIP
2000
IEEE
15 years 9 months ago
Multiscale Texture Segmentation Using Hybrid Contextual Labeling Tree
Wavelet-domain hidden Markov tree (HMT) model has been recently proposed and applied to image processing, e.g., image segmentation. A new multiscale image segmentation method, cal...
Guoliang Fan, Xiang-Gen Xia
ICIP
2000
IEEE
16 years 6 months ago
Definition of a Spatial Entropy and its Use for Texture Discrimination
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the ...
Florence Tupin, Henri Maître, Marc Sigelle
158
Voted
MICCAI
2004
Springer
16 years 5 months ago
Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT
A new approach to the hepatic primary tumor recognition from dynamic CT images is proposed. In the first step of the proposed method, texture features are extracted from manually t...
Dorota Duda, Marek Kretowski, Johanne Bézy-...
111
Voted
BMVC
2002
15 years 7 months ago
Texture classification with thousands of features
The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but t...
Alexander Kadyrov, A. Talepbour, Maria Petrou
ISMAR
2006
IEEE
15 years 10 months ago
Texture generation over the marker area
In this paper, we present a method for generating a texture for hiding a marker in augmented reality applications. The texture is generated by interpolating the neighbourhood of t...
Sanni Siltanen