Description: Support vector machine (svM) is a new machine learning techniques. In this paper, one way to build a multi-classification SVM classifier. GLCM using methods commonly used to extract image texture features, compositions of the vector input to build a good classifier in the SVM multi-classification. From the Brodatz texture library texture selected four images were classified experiments to obtain better classification results
To Search:
File list (Check if you may need any files):
SVM在图像分类中的应用.pdf
Download