In this paper, depending on available theory and literature, it studied a kind of measuring system of facial skin condition based on statistical feature analysis of image texture.
本文在现有的理论和文献基础上，研究了一种基于图像纹理统计特征分析的面部皮肤状态检测系统。
By analysis of sand grain size in sediment microenvironment of modern rivers, the size and shape of grain and surface texture feature of quartz grain were described in this paper.
本文根据现代河流的已知沉积微环境中的砂样分析，阐述了河北平原河流沉积物的粒度成分、形态和石英颗粒的表面结构特征。
Similarly, the work of texture feature extraction is obtained by using co-occurrence matrix or frequency analysis based on wavelet transform depending on different characteristics of images.
在纹理特征提取方面，针对不同纹理特点分别采用了基于共生矩阵的统计纹理分析和基于小波变换的频谱纹理分析两种方法予以实现。
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