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» Graph-Based Features for Texture Discrimination
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ICPR
2008
IEEE
15 years 8 months ago
Complex background modeling and motion detection based on Texture Pattern Flow
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...
Baochang Zhang, Yongsheng Gao, Bineng Zhong
ICML
2000
IEEE
16 years 3 months ago
Constructive Feature Learning and the Development of Visual Expertise
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
Justus H. Piater, Roderic A. Grupen
WCE
2007
15 years 3 months ago
Applying EM Algorithm for Segmentation of Textured Images
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
K. Revathy, V. S. Roshni
IDA
2006
Springer
15 years 2 months ago
Towards symbolic mining of images with association rules: Preliminary results on textures
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...
Matjaz Bevk, Igor Kononenko
MICCAI
2005
Springer
16 years 3 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...