用gabor提取图像纹理特征 -With the co-occurrence matrix texture features extracted images

主要是关于灰度共生矩阵应用，其中将灰度共生矩阵从0，45，90，135四个方向进行了计算，并对共生矩阵能量、熵、惯性矩、相关4个纹理参数进行了计算，十分有用。-Mainly on the GLCM application, which will GLCM from 0,45,90,135 four directions were calculated, and the co-occurrence matrix of energy, entropy, moment of inertia, rela

This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq

用于计算图像纹理特征的灰度共现矩阵。可计算水平，竖直，45，135度方向的共现矩阵。-Used to calculate the image texture gray co-occurrence matrix. Calculate the horizontal, vertical, 45,135 degrees direction co-occurrence matrices.