Texture Feature Extraction Method for Ground Nephogram Based on Contourlet and the Power Spectrum Analysis Algorithm

• 作者: Jing Feng Nan Ye Shijun Zhao Xiaolei Wang Xiaoying Chen Xuejin Sun
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: GROUND NEPHOGRAM super-wavelet CONTOURLET the POWER SPECTRUM
• 年，卷（期）: 2019,（8）
• 页码范围: 861-875
• 页数: 15页
• 分类号: TP3

摘要

It is important to extract texture feature from the ground-base cloud image for cloud type automatic detection.In this paper,a new method is presented to capture the contour edge,texture and geometric structure of cloud images by using Contourlet and the power spectrum analysis algorithm.More abundant texture information is extracted.Cloud images can be obtained a multiscale and multidirection decomposition.The coefficient matrix from Contourlet transform of ground nephogram is calculated.The energy,mean and variance characteristics calculated from coefficient matrix are composed of the feature information.The frequency information of the data series from the feature vector values is obtained by the power spectrum analysis.Then Support Vector Machines(SVM)classifier is used to classify according to the frequency information of the trend graph of data series.It is shown that altocumulus and stratus with different texture frequencies can be effectively recognized and further subdivided the types of clouds.