|Table of Contents|

Image Classification Based on Twin Support Vector Machines(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年03期
Page:
8-
Research Field:
计算机科学
Publishing date:

Info

Title:
Image Classification Based on Twin Support Vector Machines
Author(s):
Zhu Zhibin1; Ding Shifei1; 2
(1.School of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221116,China)(2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China)
Keywords:
image classification; Support Vector Machine; Twin Support Vector Machines; feature extraction
PACS:
TP181
DOI:
-
Abstract:
The image classification is one of the most important technologies of image data processing.Support Vector Machine is a machine learning algorithm based on statistical learning theory,which can achieve a good classification results in the small sample size.Twin Support Vector Machines is based on Support Vector Machine,which is superior to Support Vector Machine.By extracting color features and texture features of images,using Twin Support Vector Machines and Support Vector Machine to classify these feature vectors,the results shows that the accuracy and stability of Twin Support Vector Machines is higher than Support Vector Machine.

References:

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Last Update: 2014-09-30