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ISBI
2011
IEEE
7 years 7 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
TIP
2010
205views more  TIP 2010»
7 years 10 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...
VCIP
2003
238views Communications» more  VCIP 2003»
8 years 4 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
ICPR
2000
IEEE
8 years 7 months ago
Wavelet Based Texture Classification
Textures are one of the basic features in visual searching and computational vision. In the literature, most of the attention has been focussed on the texture features with minima...
Nicu Sebe, Michael S. Lew
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
8 years 8 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
ICDAR
2003
IEEE
8 years 8 months ago
Texture Feature Characterization for Logical Pre-labeling
In this article we present a study based on the use of texture features for logical pre-labeling. The aim of our work is to calculate a great number of texture features over three...
Bénédicte Allier, Jean Duong, Antoin...
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
8 years 8 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
PREMI
2007
Springer
8 years 9 months ago
Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT
We address the issue of segmenting multiple textured objects in presence of a background texture. The proposed technique is based on Geodesic Active Contour (GAC) and can segment m...
Surya Prakash, Sukhendu Das
ICPR
2008
IEEE
8 years 9 months ago
Multilinear analysis based on image texture for face recognition
In this paper, a multilinear approach based on image texture for face recognition is present. First, we extract the texture features of the facial images using the Local Binary Pa...
Hu-chuan Lu, Hao Chen, Yen-wei Chen
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
8 years 9 months ago
A geometric method to compute directionality features for texture images
In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant text...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
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