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» Iterative Feature Selection for Color Texture Classification
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CSIE
2009
IEEE
14 years 16 days ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
3DIM
2007
IEEE
14 years 4 days ago
Deformable Registration of Textured Range Images by Using Texture and Shape Features
This paper describes a method to align textured range images of deforming objects. The proposed procedure aligns deformable 3D models by matching both texture and shape features. ...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi
MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 6 months ago
Personalized photograph ranking and selection system
In this paper, we propose a novel personalized ranking system for amateur photographs. Although some of the features used in our system are similar to previous work, new features,...
Che-Hua Yeh, Yuan-Chen Ho, Brian A. Barsky, Ming O...
IBPRIA
2009
Springer
13 years 9 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
TIP
2002
133views more  TIP 2002»
13 years 5 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