Image Classification of Education Resources Based on Texture Features
Shi Yujing, Haijing Bai, Wang Xue-jun · Procedia Engineering · 2012
With the computer and network technology development, educational resource databases are more and more abundant, Images, as an important information expression, are widely used in teaching, courseware, software development and etc. How scientific and effective to classify images become an urgent problem of education resources. In this paper, we use texture features and the method of improved multi-class support vector classiffier to classify images of education resources; the experimental results demonstrate the feasibility and accuracy of the method.