DeepPLearning_book

一个时钟的简单实例。背景为白色，可根据实际需要改表盘等。(A simple example of a clock. The background is white, can be changed according to the actual needs of the dial.)

从眼动仪提取数据，根据高斯核函数得到感兴趣区域(Extract data from the eye tracker, based on the Gaussian kernel function to get the area of ​ ​ interest)

DDB 图像编程 实现图像的打开，保存，显示，一般处理等功能(DDB image programming to achieve the image open, save, display, general processing and other functions)

基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。(Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-frequency part of the non-linear.)

说明：  利用基于直方图的自适应阈值方法实现分割前景与背景a）设定三个不同阈值，直接观察分割结果； b) 利用统计直方图，得到一个自适应的阈值.(The segmentation foreground and background a are realized by using the histogram based adaptive threshold method, and three different thresholds are set, and the segmentation results are observed directly. B) a adaptive threshold is obtained by using the statistical histogram.)

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)

高斯滤波算法，可用于模糊图片，除掉图片中的高频噪声(gauss fliter to remove high frequency noise for pic )

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)

Hessian FUNCTION HESSIAN

实现了灰度共生矩阵，并应用到了几张图片上。 C++ 和OPENCV 代码。 图像处理(GLCM achieved and applied to a few pictures. C++ and OPENCV code. Image Processing)