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» Texture Feature Extraction and Classification
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TIP
2002
133views more  TIP 2002»
13 years 7 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
BMVC
2002
13 years 9 months ago
Speed v. Accuracy for High Resolution Colour Texture Classification
Methods for extracting features and classifying textures in high resolution colour images are presented. The proposed features are directional texture features obtained from the c...
A. Monadjemi, Barry T. Thomas, Majid Mirmehdi
ICIP
2003
IEEE
14 years 9 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García
ICIP
2003
IEEE
14 years 9 months ago
Classification of textures seen from different distances and under varying illumination direction
Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations ...
Xavier Lladó, Joan Martí, Maria Petr...
ICIP
2000
IEEE
14 years 9 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...