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- The Gray Level Co-occurrence Matrix (GLCM) has been proved to be a promising method for image texture analysis. 图像的灰度共生矩阵(GLCM)已知被理论证明并且实验显示它在纹理分析中是一个很好的方法;广泛用于将灰度值转化为纹理信息.
- In this paper, an interpolatory edge operator is proposed to deal with image texture extraction as a supplement to ordinary edge operators. 作为对传统边缘算法的补充，这里提出了用于图像特征提取的细微边缘检测算法。
- This paper proposes that the SVM is used in the aerial image texture classification and image segmentation. The results of SVM with mutli-nonlinear features are good . 提出将支持向量机用于航空影像的纹理分类与影像分割中，在对多种线性不可分的特征进行分类时，用SVM方法得到了较好的分割与分类结果。
- Experimental results have shown that the proposed method has sound and robust retrieval performance by integrating spatial and shape information into image texture descriptors. 实验结果表明，该方法既有效地利用了图像的纹理信息，又考虑了图像的空间和形状信息，具有较好的检索效果。
- The fifth chapter generalizes three methods of image recognition, and sets forth the principles of fuzzy control, two color systems of RGB and HSI, and image texture. 第五章首先阐述了数字图像处理技术中的三种识别方法，并对模糊控制理论，RGB，HSI颜色系统以及纹理学原理进行了概述；
- If resetting energy values in the peaks, the image texture from IFFT will be blurred even removed.Consequently, the contrast of texture and defect will be strengthened. 如果将这些频率处集中的能量置零，通过傅立叶逆变换得到的图像纹理会被模糊甚至去除，瑕疵与纹理的对比度得到增强；
- Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance. Texture analysis of the savings in staff time. 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。节省了分析纹理的研究人员的时间。
- This paper introduces the principle and algorithm of least square method which was used in texture classification of aerial image. This method based on the determining MRF (Markov Random Field) parameters of image texture. 本文介绍航空影像纹理分类的最小二乘法原理和算法，该方法是建立在影像纹理MRF参数测定的基础上。
- Based on the excellent properties of dual-tree complex wavelet transform(DT-CWT),the image texture features are analyzed and treated by combining the genetic algorithm and the evidence theory. 基于二元树复数小波变换的优良性能;结合遗传算法及证据理论;对图像纹理特征进行分析处理.
- Due to scale extension. shift and rotation capabilities of continuous wavelet transform, it is applied to extract characteristic of image. 2-D Gabor transform is fit for extracting features of image texture. 二维连续小波变换具有尺度伸缩、平面位移和旋转能力,被广泛应用于检测图像的局部特性,二维Gabor小波变换属于二维连续小波变换,它非常适合于提取图像细节纹理的特征。
- According to the direct or indirect sign of the interpretation (such as tone, image texture, shadow), it expounds various geological feature in TM image from geomorphy, tectonics, ecology etc. 并根据色调、影纹结构、阴影等各种直接或间接解译标志，从地貌、地质构造、生态等方面着手，论述了其在TM影像上的特征。
- Based on the excellent properties of dual-tree complex wavelet transform (DT-CWT), the image texture features are analyzed and treated by combining the genetic algorithm and the evidence theory. 摘要基于二元树复数小波变换的优良性能，结合遗传算法及证据理论，对图像纹理特征进行分析处理。
- The concept of fractal dimension offers a new way to image texture analysis, because it accords image texture a statistical description and exhibits complexity and roughness of texture. 分数维给予图像纹理统计意义的描述，有效地体现了纹理的复杂度和粗糙度，揭示了纹理内在的自相似性，为云雾图像纹理分析提供了新的思路。
- Noise reduction tries to leave sharp edges alone, but it smoothes over milder image textures along with the noise. 降噪技术尽量不处理清晰的边缘，但是它将影像柔和部分的纹理与噪点同时抹平。
- How to: Fill a Shape with an Image Texture 如何:用图像纹理填充形状
- Research on Computation of GLCM of Image Texture 图像纹理的灰度共生矩阵计算问题的分析
- The heroine is the spitting image of the author. 书中女主人翁是作者的真实写照。
- The Aesthetic Value of Image Texture 画面肌理的审美价值
- image texture analysis technique 图像纹理分析技术
- I have this image of you as always being cheerful. 在我的心目中，你的样子总是兴高采烈的。
