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JVCIR
2007
101views more  JVCIR 2007»
13 years 5 months ago
A comparison of three total variation based texture extraction models
This paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization: the Meyer [27], Vese–Osher (VO) [35],...
Wotao Yin, Donald Goldfarb, Stanley Osher
ACIVS
2009
Springer
13 years 12 months ago
Dynamic Texture Extraction and Video Denoising
According to recent works, introduced by Y.Meyer [1] the decomposition models based on Total Variation (TV) appear as a very good way to extract texture from image sequences. Indee...
Mathieu Lugiez, Michel Ménard, Abdallah El-...
IJCV
2006
116views more  IJCV 2006»
13 years 5 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
ICIP
2009
IEEE
13 years 3 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou

Publication
400views
13 years 4 days ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...