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。
The texture feature was obtained by statistically projecting the local centroid which was referred from the structural texture analysis methods based on the wavelet package transform.
该算法以具有多分辨率特性的小波包为基础，结合结构法的纹理元分析方式，采用区域质心完成局部特征提取，最后使用投影法进行整体的特征提取。
The features concerned are such as texture feature, gray histogram feature and features derive form the principle component analysis.
在图像特征提取上改进并提出了三种特征的提取：纹理特征，灰度直方图均值化特征，图像的主成分特征。
Then, land cover classification and residential areas extraction with combined texture feature was proposed by the sufficient analysis of the texture feature with different image window.
然后在充分分析影像不同窗口纹理特征的基础上，提出应用组合纹理特征进行土地覆盖分类和居民地信息提取方法。
Texture analysis is very important in remote sensing, medical image processing, computer vision and image searching by texture feature.
纹理分析在遥感、医学图像处理、计算机视觉及基于纹理的按图像内容检索等许多应用领域中具有重要意义。
The texture images are processed by principal component analysis(PCA), and the feature vectors are selected.
根据深度图像测定的目标角度，对三维目标灰度图像在其所属特征空间进行分解与重构。
The texture images are processed by principal component analysis(PCA), and the feature vectors are selected.
根据深度图像测定的目标角度，对三维目标灰度图像在其所属特征空间进行分解与重构。
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