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%。
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。
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。
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。
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。
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。
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。
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。
The variogram value and the variable distance calculated by the variogram function are used for the segmentation of texture image. This method is proved to be feasible and effective by experiments.
文中算法根据变差函数的这种性质将单步长变差函数值作为图像纹理特征进行分割，实验结果表明它对纹理图像分割与识别是十分有效的。
According to the features of color texture image of cucumber disease in sunlight greenhouse, recognition of cucumber disease using Support Vector Machine (SVM) and chromaticity moments is introduced.
根据日光温室黄瓜病害的彩色纹理图像的特点，将支持向量机和色度矩方法用于识别黄瓜病害。
Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.
现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。
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。
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。
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