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DSD
- 数学形态学(Mathematical Morphology)诞生于1964年，是由法国巴黎矿业学院博士生赛拉(J. Serra)和导师马瑟荣，在从事铁矿核的定量岩石学分析及预测其开采价值的研究中提出“击中/击不中变换”， 并在理论层面上第一次引入了形态学的表达式，建立了颗粒分析方法。他们的工作奠定了这门学科的理论基础， 如击中/击不中变换、开闭运算、布尔模型及纹理分析器的原型等。数学形态学的基本思想是用具有一定形态的结构元素去量度和提取图像中的对应形状以达到对图像分析和识别的目的。-Mathem
615498514
- 表面缺损检测对保证产品的使用性能、完整性和安全性具有重要意义 本文将表面 缺损类型总结为结构缺损、几何缺损、颜色缺损和纹理缺损等几类，并进行特征分析。在此基础上，从基于灰度特征、形态特征、色度特征和纹理特征等几方面对表面缺损的图像检测方法进行综-Surface defect detection products to ensure the use of performance, integrity and security will be of great significance to t
dactylogram
- 指纹分析的源代码 能够分析指纹的纹理 等其它重要信息 可以应用于指纹识别系统 把文件改成rar格式 解压就可以使用-Fingerprint analysis of the source code to analyze the fingerprint texture and other important information can be applied to fingerprint recognition system to extract the file into a rar forma
STK
- 针对STK（Satellite Tool Kit）软件在军事任务可视化仿真领域中的广泛应用，为充分挖掘 其显示潜能，重点解决了影响其三维场景构建的瓶颈问题，即三维场景数据格式的转换和数据的获取 优化。在分析构建STK 三维场景所需要素及其作用的基础上，分别对地形、地表纹理、三维模型和GIS 等四类数据格式进行分析，并利用多种辅助软件，系统地提出了由较通用格式数据向STK 所支持格式 数据的转换方法，以及在对各类原始数据的获取和转换过程中出现的问题进行处理的优化方法。最后通过实例验
cg09000773
- 基于小波变换的图像纹理特征提取方法及其应用-A Method of Image Texture Feature Analysis Based on Wavelet Decomposition and its Application
liver_ultr
- Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over th
LBP-Methods-and-Prospects
- 主要介绍了局部二值模式纹理识别的算法以其应用，并且对各个改进的算法进行了分析比较！-Introduces the application of the algorithm in its local binary pattern texture recognition, and improved algorithms for various analysis and comparison!
PCAPLDA
- 主成分分析与线性结构分析相结合，比较两种方法的优缺点以和怎么运用，以及在纹理识别方面的重要作用！-Principal component analysis and linear structural analysis combining strengths and weaknesses and how to use comparison of the two methods, as well as an important role in terms of texture recognition
zijichangshimbianyige
- 以多光谱数据为原始数据，通过空间变换、滤波、融合、纹理及图像处理等手段，提取遥感图像多维、多尺度特征，最终建立面向目标检测、识别和分析的特征空间，并使用NASA的实测数据对方法的性能进行验证和分析。-Multi-spectral data to the original data, through space conversion, filtering tools, integration, texture and image processing, remote sensing images
final-follow
- RESEARCH PAPER FOR TEXTURE ANALYSIS OF AN IMAGE AND ITS RESLTS
JCIS07-face-expression
- RESEARCH PAPER FOR TEXTURE ANALYSIS OF AN IMAGE AND ITS RESLTS
LBP
- 有关LBP方法的相关英文文献，可以用来纹理分析和分类，特征提取等-the papers about LBP methods, which can be used for feature extraction, texture classification and analysis
Craters-detection
- Algorithm for craters detection based on texture analysis
Edit68CMU_pack_AAM
- 基于 AAM 的人脸特征定位方法在建立人脸模型过程中，不但考虑 局部特征信息，而且综合考虑到全局形状和纹理信息，通过对人脸形状特征和纹 理特征进行统计分析，建立人脸混合模型，即为最终对应的 AAM 模型。-AAM facial features localization method based on face model in establishing the process, not only consider local feature information, and consi
1-s2.0-S1877050915001751-main
- Nowadays prostate disease is very common in adult and elderly men. Since all types of prostate diseases are having similar symptoms, it is difficult to diagnose malignant prostate at an early stage. In this work an attempt is made to identify the t
punfun-V2.2
- 脉冲响应的相关分析算法并检验，经典的灰度共生矩阵纹理计算方法，可以得到很精确的幅值、频率、相位估计。- Related impulse response analysis algorithm and inspection, Classic GLCM texture calculation method, You can get a very accurate amplitude, frequency, phase estimation.
houlan_v51
- 微分方程组数值解方法，大学数值分析算法，在MATLAB中求图像纹理特征。- Numerical solution of differential equations method, University of numerical analysis algorithms, In the MATLAB image texture feature.
cwgvh
- 用于建立主成分分析模型，单径或多径瑞利衰落信道仿真，在MATLAB中求图像纹理特征。- Principal component analysis model for establishing, Single path or multipath Rayleigh fading channel simulation, In the MATLAB image texture feature.
qou_rx61
- 在MATLAB中求图像纹理特征，模式识别中的bayes判别分析算法，ICA（主分量分析）算法和程序。- In the MATLAB image texture feature, Pattern Recognition bayes discriminant analysis algorithm, ICA (Principal Component Analysis) algorithm and procedures.
nen_v71
- 基于kaiser窗的双谱线插值FFT谐波分析，在MATLAB中求图像纹理特征，一些自适应信号处理的算法。- Dual-line interpolation FFT harmonic analysis kaiser windows, In the MATLAB image texture feature, Some adaptive signal processing algorithms.