控制理论与应用2024，Vol.41Issue(3)：555-566,12.DOI:10.7641/CTA.2023.20252
多元纹理图像构造方法及应用
Construction method and application of multivariate texture image
摘要
Abstract
In the image expansion stage,multivariate image analysis method may result in the loss of spatial correlation between pixels,which limits its application in the analysis of image texture features.To address this problem,an image texture features based multivariate images constructing method is proposed and applied to image segmentation in this work.Firstly,the texture feature images of each channel of the image are obtained by combining the sliding window method and the gray level co-occurrence matrix.Then,the multi-image analysis method is used to analyze the multi-image and segment the region of interest.Finally,based on the segmentation results,a decision tree model is constructed to segment the regions of interest of the same class.Simulation experiments on image datasets are carried out,the results show that the mean intersection over union(MIoU)of the proposed method is about 10％higher than that of similar methods.关键词
纹理特征/多元图像分析/图像分割/计算机视觉Key words
texture feature/multivariate image analysis/image segmentation/computer vision引用本文复制引用
卢明,王程,谢永芳..多元纹理图像构造方法及应用[J].控制理论与应用,2024,41(3):555-566,12.基金项目
国家自然科学基金项目(62203164,62203165),湖南省教育厅优青项目(21B0499)资助.Supported by the National Natural Science Foundation of China(62203164,62203165)and the Scientific Research Fund of Hunan Provincial Education Department(Outstanding Young Project)(21B0499). （62203164,62203165）
