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» On the Use of Marginal Statistics of Subband Images
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TIP
2010
205views more  TIP 2010»
13 years 2 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...
NIPS
2007
13 years 9 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
ISCAS
2005
IEEE
141views Hardware» more  ISCAS 2005»
14 years 1 months ago
Image compression using texture modeling
Abstract— We consider the problem of improving the performance of multiwavelets-based image coders through texture parametrization. Texture parametrization is designed to achieve...
Lahouari Ghouti, Ahmed Bouridane, Mohammad K. Ibra...
PAMI
2002
108views more  PAMI 2002»
13 years 7 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery
SCALESPACE
2007
Springer
14 years 1 months ago
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Noura Azzabou, Nikos Paragios, Frederic Guichard