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ICIP
2000
IEEE
14 years 6 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold
JVCIR
2006
85views more  JVCIR 2006»
13 years 4 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan
ICIP
2004
IEEE
14 years 6 months ago
Advances in texture analysis-energy dominant component & multiple hypothesis testing
Modelling textured images as AM-FM functions has been applied during the last years to texture analysis and segmentation tasks. In this paper we present some advances in two direc...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
TIP
2010
205views more  TIP 2010»
12 years 11 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»
13 years 6 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