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。
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 gives an improved method to eliminating eclipse shadow, and has been evaluated through an actual data experiment with gray level concurrence matrix and image texture feature quantities.
提出并应用改进的几何模型法对可见光云图日食阴影做订正处理，并计算出指定区域处理前、后的灰度共生矩阵；
The contents in the paper include acoustic image preprocessing, feature extraction of texture and shape, and classifier design.
内容涉及声图像的预处理、纹理和形状特征的提取，以及分类器的设计等。
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。
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.
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。
The image fractal dimension feature describes the complexity and the roughness of texture.
图像的分数维特征描述了纹理的复杂度和粗糙度。
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.
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。
The texture features such as direction and contrast of the image can be obtained from weighted projection statistics of primitive feature, which are more matched with human vision.
然后通过对基元特征进行加权投影统计，得到图像的方向性、对比度等纹理特征，这些特征可以更好的适应人类视觉特性。
The basic feature of texture segmentation and its use in processing lace image and distinguishing also introduced.
文章介绍了纹理分区的基本特征及其在花边图像处理中的应用，实现花边图稿的识别。
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。
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。
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。
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。
Accordingly, we propose an improved feature extraction scheme, adopting the tone of filtered image combined with the texture features based on the GLCM of unfiltered image to form the feature vector.
针对这种情况，提出了一种改进的特征提取方法，将基于原图像的灰度级共生矩阵提取的纹理特征与滤波后图像的灰度特征进行组合用于分类。
The techniques for realization of OWT and applications in image feature extraction and texture segmentation are explored thoroughly.
深入研究了光学子波变换的实现技术及其在图象特征提取和纹理图象分割等方面的应用。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
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。
The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.
该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。
Taking the Brownian dimension as their texture feature, image blocks were clustered and sorted, to control the number of domain blocks to be compared with each range block in coding.
以图像的布朗维数为纹理特征对编码中的图像块进行聚类和排序，实现了对每个值域块所需比较定义域块数目的精确控制。
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。
A new segmentation of image based on the feature of reduced texture spectrum is proposed.
提出了基于约简纹理谱特征值的分割方法。
The circular region F-norms in low frequency band of wavelet transform is used as color feature of the image and the energy ratio of high frequency band is used to form texture descriptor.
颜色特征采用整数小波低频系数矩阵中环形区域的F -范数，纹理特征则采用高频部分的能量比值。
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。
Texture reflects the periodic territorial feature of an image. It plays an important role in image processing as a method of feature description of image.
纹理分析方法是通过研究图像的纹理特征而进行图像处理的一种方法，在数字图像处理中占有极其重要的地位。
This paper presents two feature fusion algorithms of medical image retrieval about endoscopic image based on FCM as follow:first, using color correlogram combining with color texture;
针对医学内窥镜图像，提出两种基于模糊C-均值聚类（FCM）的特征融合算法：融合颜色相关图和图像纹理特征算法以及融合颜色直方图和颜色相关图算法。
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。
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。
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