Construction method and application of multivariate texture image
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.
国家科技期刊平台
NSTL
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