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说明：  计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

Poission_image_editing对应的GUI程序，可实现图像的无缝融合。(Poission_image_editing corresponding GUI program can achieve the seamless integration of the image.)

介绍了一些图形图像处理的基本方法，实验方案以及实验结果及代码等。(Graphics and Image ProcessingGraphic image processing )

本程序对同一图像增加噪声后，进行均值滤波、高斯平滑滤波和中值滤波三种方法的去噪和结果比较， 并进行了评价指标PSNR和SSIM的计算以及算法耗时的统计。 ( The program on the same image after the noise increases, mean filter, de-noising and results of the Gaussian smoothing filter and median filter three methods of comparison, and the index PSNR and SSIM calculation algorithm and time-consuming statistics.)

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)

说明：  利用python和opencv拼接两张图片(Splicing two pictures using Python and opencv)

说明：  图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-noise ratio, root mean square error, spatial frequency, standard deviation, mean, distortion degree, deviation index, etc. in image fusion)

Gabor 小波变换用于面部表情特征提取(Gabor Transform用于表情识别)

实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)

srad斑点去噪各向异性扩散滤波器,代码很短，本身该方法就含有不少的偏微分方程，看懂需要仔细研究。(srad, speckle denoising anisotropic diffusion filter)