关键词: 离散傅里叶变换, 排列组合熵, 主成分分析, 支持向量机, 纹理图像

Abstract:

As the texture feature output has superior performance in image classification,a method based on discrete Fourier transform and permutation entropy is proposed.The method of principal components analysis is adopted to reduce the dimension of the eigenvector.The Support Vector Machine(SVM) is used to classify the texture image.The results show the methods perform well in texture image classification.

Key words: discrete Fourier transform;permutation entropy;principal components analysis;support vector machine;texture image