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。
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.
详细说明：图像纹理分析的好的源代码，可以计算纹理的二阶特征：能量，熵，局部稳定性，惯性距，和相关性。
Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance.
纹理作为一种重要的视觉特征，广泛应用于图像分析。
Texture is one of the important visual features in image analysis.
针对卫星遥感图像中的云探测问题，提出了一种有效的纹理特征分析方法。
A valid texture feature analytical method is proposed to detect cloud in satellite remote sensing image.
分析了距离对纹理特征参数的影响，选取了合适的距离参数。
The influence of distance on texture characteristic parameters is discussed, and the proper distance is determined at last.
本文是关于SAR图像的纹理特征分析，它是SAR图像应用中的一种重要技术。
This paper is just about the texture features analysis of SAR images, which is a key technology in the application of SAR images.
在总结和分析共生矩阵算法的基础上，提出了一个快速获取目标图像纹理特征，进而实现图像检索的方法。
Base on generalization and analysis of co-occurrence matrix algorithms, a method is proposed that could make fast acquisition of target image texture features and thus implement image retrieval.
结果从直方图分析中提取的均值、斜态均能反映两类图像所特有的纹理特征。
Results Parameters including mean value and skewness gotten from histogram can reflected the all texture feature of images of fatty and normal liver.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
分析计算了磨粒的形貌，纹理和颜色等几类特征参数，形成一套较为完备的磨粒特征描述体系。
By analyzing and calculating the shape, color and texture characteristic parameters of wear particles, a complete set of wear particle quantification characterization comes into being.
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
提取有效的特征用于纹理描述和分类一直是纹理分析的难点。
Extracting effective features for texture description and classification is always a difficult problem in texture analysis.
主要包括印鉴图像的预处理，印鉴图像纹理特征的提取与选择及特征参数的分析比较。
The major works includes the seal imprint preprocessing, computing, the texture features selection, and the features analysis and comparison.
在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。
This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform, presents two improved approaches of point feature weighting and smart windows.
在卫星遥感图像的分析中，提取图像的边缘和纹理特征，对于识别图像的类型，从而完成对目标物体的分析十分重要。
To extract the photo edge and characteristic of texture from the satellite remote sensing image is important to distinguish the image type.
使用这一方法挑选合适的纹理特征用于图像分类，并对结果进行分析。
Appropriate texture features are selected with this method to serve image classification and simulative results are discussed.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
针对集装箱表面的锈蚀检测问题，研究了基于小波的多分辨分析算法，分析了金属表面的锈蚀纹理特征和颜色特征。
Multiresolution analysis is studied to analyze the texture and color characteristics on metal surface for the problem of corrosion detection on surface of the container.
在使用模板匹配方法检测织物瑕疵的过程中，通过实时采集、分析织物的灰度图像，获得织物纹理的统计信息，并从中提取出正常纹理的特征。
In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image.
介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。
A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.
通过分析采集的布匹纹理特征，应用机器视觉技术能快速检测出布匹上的瑕疵。
The defect could be detected rapidly by computer vision technology based on the characteristic of the fabric texture.
在预处理阶段，分析纹理样图中特征点的全局分布，并计算样图结构坐标。
In the preprocessing stage, the global distribution of feature points in the sample texture was analyzed and structural coordinates of the sample texture were computed.
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 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.
分析了有限脊小波变换可以实现图像的旋转不变性和平移不变性，提出了结合两种小波变换提取图像纹理特征的方法，实现了在小波域中进行图像的不变纹理分类。
A method using two wavelet transform to get the texture feature for remote sensing is put forward, in order to turn out the invariant texture classification for remote sensing in the wavelet domain.
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。
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.
通过分析研究虹膜上丰富的纹理特征，结合不同的特征提取方法和分类器可以实现虹膜的身份认证。
Through analyzing the iris feature and combining with different feature extraction methods, we can realize iris recognition.
在突发人群聚集事件发生时，通常是高密度场景，因此本文决定采用基于纹理的分析方法来提取人群密度特征。
The density of crowed is often high in the unexpected crowd incidents. So this paper decided to adopt texture estimation to extract the characteristics of population density.
在对图像纹理特征进行统计分析的基础上，本文提出了一种基于纹理分析的图像小波变换清晰度评价方法。
An image definition criterion using wavelet transform based on the texture analysis was proposed in this paper through the statistical analysis to the image texture characteristic.
在对图像纹理特征进行统计分析的基础上，本文提出了一种基于纹理分析的图像小波变换清晰度评价方法。
An image definition criterion using wavelet transform based on the texture analysis was proposed in this paper through the statistical analysis to the image texture characteristic.
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