A novel image retrieval method based on color and texture feature is proposed.
提出了一种基于颜色和纹理特征的图像检索方法。
Local Fourier transform (LFT) is an important texture feature extracting method.
局部傅里叶变换(LFT)是一种重要的纹理特征提取方法。
Second, the no-vehicle regions are filtered by texture feature of AOI based on DBC.
然后，通过分形维数计算车辆的纹理特征，排除非车辆区域。
A novel iris recognition method based on multi-texture feature fusion is presented in the paper.
提出一种基于多纹理特征融合的新颖虹膜识别方法。
The description and extraction of SAR image texture feature is important to texture segmentation.
SAR图像纹理特征的描述和提取是纹理分割的关键。
On the basis of this, we proposed a new method which composes of color feature and texture feature.
在此基础上，提出了一种新的综合颜色和纹理的改进算法。
A valid texture feature analytical method is proposed to detect cloud in satellite remote sensing image.
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 nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
Predicting tenderness score. We discussed the theory and the study of method of obtaining the texture feature.
嫩度分值评定讨论了目前提取图像纹理特征的理论和方法研究。
A novel image texture feature descriptor is proposed which is insensitive to Gaussian blur and Gaussian noise.
提出了一种对高斯模糊和高斯噪声鲁棒的图像纹理特征描述算子。
This paper presents a context dependent method of off-line handwriting verification based on the texture feature.
针对文本依存的离线笔迹鉴别，提出一种基于纹理的算法。
The results showed that the former was stronger in bursting, better in texture feature and stiffness than the latter.
结果表明，平行股线针织物具有顶破强力高，布面纹理清晰，硬挺度好等优点。
The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征基础上的信息融合。
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征情况下的信息融合。
By calculating the mean and standard deviation of image subbands decomposed by NSCT, the texture feature elements are extracted.
以nsct域各子带系数的均值和标准方差构成基本特征向量。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images Retrieval.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
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。
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。
This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.
给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。
This paper discusses the optimization of back propagaton neural networks for the grain texture feature, extraction in grain classification.
主要讨论了在谷物纹理识别中对神经网络的优化。
A method used for two-stage image retrieval with rotation-invariant texture feature is proposed against the common rotation problem of image.
针对图像中常见的旋转问题提出一种旋转不变纹理特征进行两级图像检索的方法。
The results indicate this method can effectively extract texture feature of gray image target, and has robust to noise and change of target shape.
结果表明，这种特征提取方法能有效地提取灰度图像目标纹理特征，并且对噪音和形状的变化具有强鲁棒性。
Results Parameters including mean value and skewness gotten from histogram can reflected the all texture feature of images of fatty and normal liver.
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。
The excellent characteristics of rotation-invariance, good orientation selection and finite redundancy are fully utilized, and applied in texture feature extraction.
充分利用双树复小波变换的旋转不变性、良好的方向选择性以及有限的冗余等优点，将其有效地应用于纹理特征提取过程中。
According to the method of data mining using in the image, this paper proposed a new approach based on image degradation and unit pattern matching to mine texture feature.
借助数据挖掘方法在图像中的应用，提出了一种利用图像降阶结合基元模式匹配对纹理特征进行挖掘的新思路。
We do some researches on the algorithm of CBIR, and pay more attention on the global feature (including color, edge and texture feature) extraction and matching algorithms.
对基于内容的图象信息检索算法作了研究。重点阐述了对颜色、边缘、纹理等全局特征的提取与匹配算法。
The extraction of forest texture feature from color forest aerial remote sensing images is an important part of the automatic interpretation of forest types achieved by computer.
彩色森林航空遥感图像中森林纹理特征提取是实现计算机自动判读的重要环节。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
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