Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

11

ICPR
2006
IEEE

favoriteEmaildiscussreport

171views computer vision» more ICPR 2006»

A Comparison of Texture Features Based on SVM and SOM

14 years 5 months ago

A Comparison of Texture Features Based on SVM and SOM

Download www.cs.nthu.edu.tw

Experimental results of texture features derived from Gabor and other four wavelet transforms classified and clustered based on Support Vector Machine (SVMs) and Self-Organizing Maps (SOMs) are reported in this paper. A comparison of SVM and SOM in texture classification is illustrated. The results show that these texture sets with appropriate classifiers perform reasonably well.

Chaur-Chin Chen, Chien-Chang Chen, Chih-Ming Chen

Real-time Traffic

Computer Vision | ICPR 2006 | Texture Classification | Texture Features | Texture Sets |

claim paper

Related Content

» Color and Position versus Texture Features for Endoscopic Polyp Detection

» Visualisation and Comparison of Image Collections based on Selforganised Maps

» An in Depth Comparison of Four Texture Segmentation Methods

» Cervical Cancer Detection Using SVM Based Feature Screening

» Comparison of Texture Features Based on Gabor Filters

» An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in N...

» Modeling and Recognition of Gesture Signals in 2D Space A Comparison of NN and SVM Approac...

» PicSOM contentbased image retrieval with selforganizing maps

» An SVM ConfidenceBased Approach to Medical Image Annotation

Post Info
More Details (n/a)

Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2006
Where	ICPR
Authors	Chaur-Chin Chen, Chien-Chang Chen, Chih-Ming Chen

Comments (0)