搜索资源列表
gongshengjuzhen-application
- 共生矩阵及其在特征提取中的应用,用于灰度或二值图象的特征提取中.-symbiotic Matrix and feature extraction in the application for two or gray value image feature extraction.
work
- 利用灰度图 建共生矩阵 利用特征值 对纹理图想分割
textture-feature
- 基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵,所用图像灰度级均为256-Co-occurrence matrix based texture feature extraction, d = 1, θ = 0 °, 45 °, 90 °, 135 ° total of four matrices, the use of gray-scale images are 256
retinalsegmentation
- 文献 基于灰度-梯度共生矩阵的视网膜血管分割方法-Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method
algorithm
- 阈值法是图像分割的一种重要方法, 在图像处理与识别中广为应用. 提出了一种基于灰度2梯度共生矩阵 模型和最大熵原理的自动阈值化方法. 该方法不仅利用了图像的灰度信息, 而且也利用了梯度信息, 通过计算基 于灰度2梯度共生矩阵的二维熵, 并使边缘区域的熵最大来选择阈值向量. 仿真结果显示, 该算法比其他二维熵方 法效果更佳.-Th resho lding is an impo rtant fo rm of image segmentat ion and is used in image
Symbiosis
- 把真彩图转换为灰度图，然后根据灰度级数和共生矩阵位移向量求解灰度图矩阵的共生矩阵-The true color pictures converted to grayscale, and then gray series and the gray level co-occurrence matrix to solve the displacement vector of the co-occurrence matrix matrix
clor
- 基于颜色直方图和灰度梯度共生矩阵的邮票检索。-Shades of gray based on color histogram and the co-occurrence matrix stamp retrieval.
F5steganographic-1.0
- 针对F5隐写的检测，包括共生矩阵，不连续性的特征提取，DCT变换，灰度值提取，运用支持向量机SVM -For F5 steganography detection, including the co-occurrence matrix, feature extraction discontinuity, DCT transform, gray value extraction, using support vector machine SVM
convariance
- 能够计算出一个图像矩阵的灰度梯度共生矩阵，并计算出其协方差-To calculate an image matrix of gray gradient co-occurrence matrix, and calculate the covariance
Mgraycomatrixa
- 使用matlab求图像的灰度共共生矩阵的程序，很好用可直接使用。 -Use matlab for image gray co-occurrence matrix program, easy to use can be used directly.
GrayGradinet
- 图像的一种纹理提取方法，采用灰度梯度共生矩阵，是简单方便的方法-An image texture extraction method, using gray-gradient co-occurrence matrix is a simple and convenient method
GLCM-feature-extraction-procedures
- 灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15-GGCM H normalized gray gradient matrix H
tuxiangtezhengtiqu
- 对图像的特征提取，有灰度直方图，共生矩阵，Hu不变矩，几何特征，还有基于小波的二维分解，已运行。-Image feature extraction, there histogram, co-occurrence matrix, Hu invariant moments, the geometrical characteristics, already running, correct.
test_gray_gradient
- 将一幅图像划分成8*8图像块，计算灰度梯度共生矩阵，基于混合熵对每个图像块分类-divide an image into 8*8 image blocks,calculate gray-gradient-matrix, classify image blocks based on the mixed entropy
Image-segmentation-based-on-texture
- 利用灰度图 建共生矩阵 利用特征值 对纹理图像分割-The use of grayscale co-occurrence matrix to build the use of characteristic values of the texture map would like to partition
DigitalImageProcess
- DFT.m:计算一幅图像的DFT，并在屏幕上显示频谱图，将频谱原点移到图像中间。 zhifangtu.m：用直方图均衡算法对一幅图像进行增强。 fenge.m：设计一种算法自动从灰度图像上求得全局分割阈值，将一幅图像中的目标和背景分隔开，使这幅图像的目标和背景有着不同的平均灰度。 gongshengjuzhen.m:求出一幅图像的像素和有下一个像素的共生矩阵。 OpenAndClose.m：实现二值形态学的膨胀、腐蚀、开操作、闭操作。-DFT.m: Calculates the
GRAY
- 计算灰度梯度共生矩阵,并计算其各种特征值和方差标准差(Computation of grayscale gradient co-occurrence matrix)