搜索资源列表
statmoments
- 出自岗厦雷斯的数字图像处理，用于纹理特征提取的获取数据-From Gangxia juarez digital image processing, feature extraction for texture access to data
FeaturePointsEditingTool
- 为了实现实时的低带宽和基于手机平台的情感通信，传输的数据量必须足够小，鉴于人脸视频图像的表情信息和纹理信息量很大，我们采用了基于特征点的人脸表情再现和视频传输。因此特征点序列的预处理对人脸表情卡通话显得尤为重要.-In order to realize low-bandwidth and real-time mobile phone platform based on emotional communication, the amoun
ImageComatrix
- 灰度共生矩阵是图像处理中特征提取的纹理特性的一个重要参量，该程序实现2-D灰度图像的共生矩阵的计算-Gray-level co-occurrence matrix is the image processing feature extraction of texture characteristics of an important parameter, the program realize 2-D gray-scale image
graycomatrix
- 利用VC实现了灰度共生矩阵的纹理特征提取.-Use of VC realize the gray co-occurrence matrix texture feature extraction.
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
Texture
- 本源码是纹理分析的一个实例，主要应用灰度共现矩阵来计算一些纹理特征值-The source code is an example of texture analysis, the main application of gray-scale co-occurrence matrix to calculate the number of texture feature values
Delphi
- 针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题，提 出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法。为了减少时间 间复杂度，首先通过基于普通颜色直方图的检索得到初始图像集合，然后根据提出的结合空间、纹理特征加权度量对初始图像集合再进行检索，从而得到最后更符合要求的相似图象-View of the current feature-based image retrieval is not eff
GHalftone_Class
- 灰度共生矩阵,半调图像 首先算出图像的增强的一维相关性,并用生经网络进行分类,可以分为6的大类 然后针对第三大类Cluster4和Diffuse8,可以利用图像的纹理特征参数(逆差矩)进行分类-Gray Level Co-occurrence matrix, first calculated image halftone images enhanced the relevance of one-dimensional, and
image2
- 基于纹理语义特征的图像检索研究.很详细.在其他网站找不到-Semantic features based on texture image retrieval research. In great detail. Can not find in other sites
image3
- 融合圆对称轮廓波统计特征和LBP的纹理图像检索.详细的算法介绍和论文说明-Integration of circular symmetric contour wave characteristics and LBP Statistics for Texture Image Retrieval. Detailed presentations and papers algorithm descr iption
ctj
- 本代码实现了图象的颜色，纹理，和轮廓特征的提取方法的实现-Realize the image of the code of color, texture, and contour feature extraction methods realize
gray
- 基于灰度共生矩阵实现图象纹理特征的提取。-Based on Gray Level Co-occurrence matrix to achieve the extraction of image texture features.
feature-excture
- 纹理特征提取，比较使用的程序。适合图形图像处理方面的特征提取。-Texture feature extraction, comparing the use of procedures. Perfect for graphics image processing feature extraction.
iris2
- 提出了一种新的基于小波过零检测的虹膜 识别算法,通过对分离的虹膜纹理采用小波变换来实现特征提取,最后通过Hamming距离完成模式匹配．-A new wavelet-based zero-crossing detection of the iris recognition algorithm, through the separation of the iris texture by wavelet transform to rea
iris3
- 提出一种基于小波变换的虹膜识别算法，详细介绍了对虹膜图象的预处理和对虹膜纹理特征的提取方法．-A wavelet transform based on iris recognition algorithm, a detailed introduction of the iris image preprocessing and iris texture feature extraction methods.
texture
- 为进一步进行纹理特征分析，从纹理的方向性人手，给出了纹理方向的数学定义式，合理选择差异函数， 构造了具有物理意义的纹理方向描述特征向量．数据处理方面，运用模糊贴近度的概念，结合改进后的属性均值聚 类算法，对一类具有方向性的纹理图象进行分类与分割实验，取得了较好的结果．试验表明，该方法对纹理的方向 性有很好的描述能力． 关键词 图象分割 纹理方向 纹理分割 神经网络 模糊聚类 -Texture features for
Gabor_Texture
- 利用Gabor滤波实现纹理特征的提取。CGabor类用于生成单个滤波器，并可用生成的滤波器对图像进行滤波。CGetTexture生成不同尺度和相位的滤波器组，从文件夹中依次读取图像文件进行一系列滤波，生成纹理特征图像。-Realize the use of Gabor filter texture features extraction. CGabor type used to generate a single filter, and
Gaborwavorforedge
- Gabor小波提取图像纹理特征，matlab语言编写-Gabor wavelet texture feature extraction image, matlab language
picture2468
- 基于VC++实现的基于灰度共生矩阵的图像检索：用灰度共生矩阵提取图像的纹理特征进行检索-Based on VC++ Realize the gray-level co-occurrence matrix-based image retrieval: The gray-scale extraction of co-occurrence matrix texture features of image retrieval
GrayGradinet
- 灰度共生矩阵、灰度梯度共生矩阵提取纹理特征-Gray Level Co-occurrence matrices, gray-gradient co-occurrence matrix texture features extracted