Computer Engineering & Science >
A Thyroid Image Retrieval Algorithm Based on Improved SVMs
Received date: 2010-05-20
Revised date: 2010-09-03
Online published: 2011-01-25
In allusion to SVM,s defects of handling large amount of data and distinguishing the importance of the training set,this paper joins the SVM classifier with the rough sets theory, and constructs an improved image feedback retrieval algorithm based on rough sets and SVMs,which are used to retrieve thyroid CT images .The results show that the improved SVM classifier can get 92.53% accuracy which is about 15.95% higher than 76.58% using SVM,and the retrieval of poor accuracy and recallprecision are also increasedr by 89.53% and 29.67%.
REN Xiaokang,BAI Yongfeng，FAN Li，LI Yanrui . A Thyroid Image Retrieval Algorithm Based on Improved SVMs[J]. Computer Engineering & Science, 2011 , 33(1) : 127 -131 . DOI: 10.3969/j.issn.1007130X.2011.
［1］Pawlak Z W. Rough Sets ［J］. Int’l Journal of Information and Computer Science, 1982,11 (5):341356.
［2］Vapnik V.The Nature of Statistical Learning Theory［M］.New York：Springer Verlag，1995.
［3］Burges C J C.A Tutorial on Support Vector Machines for Pattern Recognition ［J］.Data Mining and Knowledge Discovery，1998，2（2）:147149.
［4］Wang L P. Support Vector Machine:Theory and Application ［M］.New York: Springer Verlag, 2005.
［5］Scholkopf B,Smola A J.Learning with Kernels［M］. Cambridge:MIT Press, 2002.
［6］Rui Y, Huang T S, Ortega M , et al. Relevance Feedback: A Power Tool in Interactive Content Based Image Retrieval ［J］.IEEE Trans on Circuits and Syst for Video Tech, 1998,8(5):644655.
［7］RuiY, Huang T S.A Novel Relevance Feedback Technique in Image Retrieval ［C］∥Proc of the 7th ACM Int’l Conf on Multimedia(Part 2),1999:6770.
［8］Ishikawa Y, Subramanya R, Faloutsos C. Mindreader:Query Databases Through Multiple Examples ［C］∥Proc of the 24th Int’l Conf on Very Large Databases,1998:218229.
/
| 〈 |
|
〉 |