Nowadays, texture image analysis and classification is widely used in blemish locate, object recognize, image search, remote sensing image analysis and other fields.
现在对于纹理图像的分析和分类广泛用于瑕疵定位、景物识别、图像检索、遥感图像分析等多个领域。
The traditional cooccurrence matrix is an effective approach in texture image analysis. It is widely used in the research sense of image comprehension and computer vision.
传统的灰度共生矩阵是一种有效的纹理图像分析方法，它在图像理解和计算机视觉研究领域已得到了广泛的应用。
The affection on the texture analysis by the acoustic image restoration is investigated in this paper.
本文研究了声图像的恢复对声图像纹理分析参数的影响。
Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance.
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。
A digital texture analysis technique of ocean wave image is presented.
本文对海洋波浪图象作数字纹理分析。
Texture analysis is one of important methods in image processing.
纹理分析是图像处理中一种十分重要的方法。
This procedure is based on the field of pattern recognition image texture analysis.
本程序是基于模式识别领域的图像的纹理分析方法。
Texture is one of the important visual features in image analysis.
纹理作为一种重要的视觉特征，广泛应用于图像分析。
Many reports have been made about the applications of fractal theory in the fields of natural image simulation, image texture analysis, pattern recognition etc.
自然图像的模拟，图像纹理分析，模式识别等方面都可见大量的用分形理论来分析和研究的报道。
OBJECTIVE: a new texture analysis method is proposed, based on a minimum-variance energy map, to suppress the effect of tag lines on image segmentation.
目的：为了抑制标记线对图像分割的影响，提出了一种基于最小值-方差能量图的纹理分析方法。
Texture analysis plays an important role in image analysis and pattern recognition, and texture description is a basic research topic of texture analysis.
纹理分析在图象分析和模式识别中起着非常重要的作用，而纹理描述又是其中一个基础的研究课题。
This paper presents an effective license plate location algorithm, which employs color and texture analysis to extract the number plate from the complicated background image.
针对复杂背景的车牌定位问题，提出了一种颜色和纹理分析相结合的车牌定位算法。
Gray level co-occurrence matrix is a very important method in image texture analysis.
灰度共生矩阵法是图像纹理分析中一种十分重要的方法。
This paper used three kinds of texture classification methods to classify aerial image. Through experiment and analysis, we get some Suggestions for choosing texture classification method.
通过对结果的分析得到一些结论，这些结论对于选用和搭配影像纹理分类方法有一定的指导作用。
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.
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。
The statistic method of image analysis is used to evaluate the fabric wrinkling, analyse the texture statistics properties.
利用计算机图像处理的统计分析方法对织物的抗皱恢复性能进行了系统地分析。
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。
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.
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。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
This article will introduce the plant leaves recognition system with emphasis based on the image texture analysis.
本文将重点介绍基于图像纹理分析的植物叶片识别系统。
Texture image segmentation is foundation of image analysis, model recognition and computer vision, which is also a classic problem.
纹理分割是图像分析、模式识别、计算机视觉等领域的基础，也是个经典难题。
Texture analysis is a basic issue in image processing and computer vision, and how to attain the rotation-invariant texture characterization is a key problem.
纹理分析是图像处理和机器视觉中的一个基本要素，而如何获得其中的纹理旋转不变性描述则是其中的重要环节。
Texture analysis has become an important means for improving the accuracy of remote sensing image classification.
纹理分析是提高遥感影像分类精度的重要手段之一。
In view of the faults of complex calculation and long operation time existed in the present texture analysis algorithms, a new image texture analysis algorithm is proposed.
针对目前的纹理分析算法普遍存在计算复杂、运行时间过长的缺点，提出了一种新的图像纹理分析算法。
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。
In this method, the SVM classification model combined with texture analysis is established on the basis of texture extraction from SPOT5 remote sensing image.
该方法在对SPOT5遥感影像进行纹理特征提取的基础上，构建了结合多窗口纹理的SVM模型。
In this method, the SVM classification model combined with texture analysis is established on the basis of texture extraction from SPOT5 remote sensing image.
该方法在对SPOT5遥感影像进行纹理特征提取的基础上，构建了结合多窗口纹理的SVM模型。
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