The method especially apply to near-regular texture image.
其中，对近规则邻域的纹理图像合成尤为适用。
The texture image by using the mosaic technology was built.
借助重叠图像拼接技术形成纹理图像；
A modified texture image segmentation algorithm is proposed.
提出了一种改进的有监督纹理图像的分割算法。
The gray bits in the texture image in Figure 10 are 60 percent transparent.
图10中纹理图像的灰色位透明度为60%。
Absrtact: a defect detection method for texture image is presented in this paper.
摘要：在工业自动化研究中，部件的缺陷检测是非常重要的过程。
A second generation contourlet transform based texture image retrieval system is proposed.
提出了一种基于第二代轮廓波变换的纹理检索系统的实现方法。
Then normal filtering and texture environment operations are performed using the texture image.
然后，对纹理图象施加滤波和纹理环境操作。
This paper proposes a novel algorithm for segmentation of texture image based on variogram function.
本文基于变差函数提出一种图像纹理分割的新方法。
For synthetic Mosaic texture image, miss classed probability was given as the evaluation of segmentation results.
对合成纹理图像给出错分概率作为评价参数。
It is most suitable for complex texture image because the affection of image statistic characteristics is little.
受图像统计特性的影响较小，尤其适于复杂纹理的图像。
Plastic material texture image is composed of transparency, special artistic effect additive, surface texture, and color.
提出了塑料的材料质感意象由材料的透明度，特殊效果添加剂，表面纹理和色彩组成。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
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。
Defects detection for machined part surface texture image can obviously enhance the entire efficiency for the automatic manufacturing.
对加工表面纹理缺陷进行可靠的检测分析可以有效提高机械加工零件表面精加工的水平。
Texture image interpolated by the novel model preserves the entire texture pattern; the jaggies in linear structure of texture is smoothed too.
使用双层约束模型处理纹理图像可以保持纹理特征，平滑纹理部分线形特征位置的块状效应。
Fractal dimension of wood texture image can represent a lot of texture features, and it is an important characteristic parameter of timber species.
木材纹理图像的分形维数可以代表木材很多的纹理特征，它是木材树种的一项重要数字特征参数。
Referring to the low retrieval rate of basic contourlet transform, a Non-subsampled Contourlet Transform (NSCT) texture image retrieval system is proposed.
针对基本轮廓波变换纹理检索系统检索率较低的问题，提出了一种无下采样轮廓波变换（NSCT）纹理图像检索系统。
The applications of this system in the segmentation of texture of the typical texture image, rock surface, and bird-view photograph of a city, etc are studied.
利用这一系统对典型纹理图象、岩石表面、和航拍市区照片的纹理分割进行了应用研究。
We employ this method to extract the features of such texture image and use weighted Euclidean distance classifier to fulfill the matching and identification task.
用该方法提取纹理图像的特征，并使用加权欧式距离分类器来完成匹配工作。
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。
According to the features of color texture image of plant disease, recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced.
针对植物病害彩色纹理图像的特点，提出将支持向量机和色度矩分析方法相结合应用于植物病害识别中。
To segment some color texture image, this paper improves the three dimensinal LEGION in order to obtain the better result for the color image segmentation of rock samples.
在此基础上，还针对某些彩色图像中含有纹理性质目标的情况，对这种方法进行了改进，将此用于彩色岩芯切片图像的分割取得了较好的效果。
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。
In this paper we discuss the mechanism of using Fourier transform on texture identification and then suggest a texture image segmentation algorithm based on Fourier transform.
讨论了傅氏变换应用于纹理识别的机理，并基于此提出了一种图象分割算法。
According to the features of color texture image of maize disease, a method of recognizing disease by using support vector machine (SVM) and chromaticity moments is introduced.
针对玉米病害叶片彩色纹理图像的特点，提出一种将支持向量机和色度矩分析应用于玉米病害识别的方法。
At first, extracting features of chromaticity moments of texture image of grape disease is done, then classification method of SVM for recognition of grape disease is discussed.
首先利用色度矩提取葡萄病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
At first, the extracting features of chromaticity moments of texture image of maize disease is done, then classification method of SVM for recognition of maize disease is discussed.
首先利用色度矩提取玉米病害叶片纹理图像的特征向量，然后将支持向量机分类方法应用于病害的识别。
According to the features of color texture image of grape disease, a method of recognizing of grape dis-ease using support vector machine (SVM) and chromaticity moments is introduced.
针对葡萄病害彩色纹理图像的特点，提出一种将支持向量机和色度矩分析应用于葡萄病害识别的方法。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
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