Image Classifier Using Modified Binary Support Vector Machines Structures and 2-D Gabor Filters

Author(s):  
Leonel Rosas-Arias ◽  
Jesus D. Rojas-Cid ◽  
Daniel B. Roman-Ocampo ◽  
Jose A. Lopez-Tello
2012 ◽  
Vol 1 (1) ◽  
pp. 77-85
Author(s):  
N. Sriraam ◽  
D. Nithyashri ◽  
L. Vinodashri ◽  
P. Manoj Niranjan

This paper suggests an automated detection procedure for identification of ultrasonic imaging based uterine fibroids using Gabor filters and wavelet features with support vector machines as classifier. A classification accuracy of 100% is achieved for 86 test images using wavelet packet features, which indicates the potential suitability of the proposed scheme for clinical diagnosis.


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