该文给出了一种彩色图像检索的新方法。在特征描述时,首先划分连通区域,进而求取勒让德色度矩和纹理共生矩阵,获取区域的色彩和纹理特征(Regional Color and Texture,RCT);在相似度匹配时,将动态局部距离函数(Dynamic Partial distance ...该文给出了一种彩色图像检索的新方法。在特征描述时,首先划分连通区域,进而求取勒让德色度矩和纹理共生矩阵,获取区域的色彩和纹理特征(Regional Color and Texture,RCT);在相似度匹配时,将动态局部距离函数(Dynamic Partial distance Function,DPF)应用到动态区域匹配中。实验结果显示,该RCT-DPF方法对彩色图像检索是有效的,并且优于纹理共生矩阵、基于色彩连通的图像纹理检索方法和非DPF区域匹配的多特征描述方法。展开更多
The strength of cement-based materials,such as mortar,concrete and cement paste backfill(CPB),depends on its microstructures(e.g.pore structure and arrangement of particles and skeleton).Numerous studies on the relati...The strength of cement-based materials,such as mortar,concrete and cement paste backfill(CPB),depends on its microstructures(e.g.pore structure and arrangement of particles and skeleton).Numerous studies on the relationship between strength and pore structure(e.g.,pore size and its distribution)were performed,but the micro-morphology characteristics have been rarely concerned.Texture describing the surface properties of the sample is a global feature,which is an effective way to quantify the micro-morphological properties.In statistical analysis,GLCM features and Tamura texture are the most representative methods for characterizing the texture features.The mechanical strength and section image of the backfill sample prepared from three different solid concentrations of paste were obtained by uniaxial compressive strength test and scanning electron microscope,respectively.The texture features of different SEM images were calculated based on image analysis technology,and then the correlation between these parameters and the strength was analyzed.It was proved that the method is effective in the quantitative analysis on the micro-morphology characteristics of CPB.There is a significant correlation between the texture features and the unconfined compressive strength,and the prediction of strength is feasible using texture parameters of the CPB microstructure.展开更多
文摘该文给出了一种彩色图像检索的新方法。在特征描述时,首先划分连通区域,进而求取勒让德色度矩和纹理共生矩阵,获取区域的色彩和纹理特征(Regional Color and Texture,RCT);在相似度匹配时,将动态局部距离函数(Dynamic Partial distance Function,DPF)应用到动态区域匹配中。实验结果显示,该RCT-DPF方法对彩色图像检索是有效的,并且优于纹理共生矩阵、基于色彩连通的图像纹理检索方法和非DPF区域匹配的多特征描述方法。
基金Project(51722401)supported by the National Natural Science Foundation for Excellent Young Scholars of ChinaProject(FRF-TP-18-003C1)supported by the Fundamental Research Funds for the Central Universities,ChinaProject(51734001)supported by the Key Program of National Natural Science Foundation of China
文摘The strength of cement-based materials,such as mortar,concrete and cement paste backfill(CPB),depends on its microstructures(e.g.pore structure and arrangement of particles and skeleton).Numerous studies on the relationship between strength and pore structure(e.g.,pore size and its distribution)were performed,but the micro-morphology characteristics have been rarely concerned.Texture describing the surface properties of the sample is a global feature,which is an effective way to quantify the micro-morphological properties.In statistical analysis,GLCM features and Tamura texture are the most representative methods for characterizing the texture features.The mechanical strength and section image of the backfill sample prepared from three different solid concentrations of paste were obtained by uniaxial compressive strength test and scanning electron microscope,respectively.The texture features of different SEM images were calculated based on image analysis technology,and then the correlation between these parameters and the strength was analyzed.It was proved that the method is effective in the quantitative analysis on the micro-morphology characteristics of CPB.There is a significant correlation between the texture features and the unconfined compressive strength,and the prediction of strength is feasible using texture parameters of the CPB microstructure.
