A Sensitive Image Filtering Method Based on Gabor Function and SVM

Abstract

The filtering of sensitive images becomes increasingly important, and the image filtering technique based on content has become the focus of research. For the disadvantages of low filtering accuracy rate and poor flexibility that exist in many image filtering methods, a sensitive image filtering method based on Gabor function and SVM(Support Vector Machine) was proposed. And then such problems as how to improve the efficiency and accuracy of filtering were discussed. Finally this method was compared with the existing filtering methods, and the experimental results showed that this method has significant improvement in filtering effectiveness, which can effectively improve the rate of precision and flexibility.