R Graph Essentials

拐点的检测，对一个图像的拐点进行检测，使用的是freeman链码的方法，检测图像中拐点的方向，确定该方向是不是拐点。(Inflection point detection, an image of the inflection point for testing, use freeman chain code method, testing the image in the direction of the inflection point, we determine the direction is inflection point. )

静态图片转化为动态图片，把静态的图片转化为动态的(convert PNG picture to GIF picture)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

说明：  matlab去除红眼，用户手动绘制需要去红眼的区域，并选择参数，进行操作。(matlab remove red eye, the user need to manually draw the red-eye area, and select the parameters to operate.)

利用最佳直方图熵法（KSW熵法）及穷举法实现灰度图像阈值分割(The best the histogram entropy method (KSW entropy method) and the brute-force method to achieve gray image threshold segmentation)

用于植物叶片分类的图形界面,是Matlab源码，用BP神经网络实现(For plant leaf classification graphical interface, the Matlab source code, using BP neural network)

说明：  基于matlab的图像处理，裂纹检测算法，非常适合初学者学习(Image processing and crack detection algorithm based on MATLAB are very suitable for beginners to learn)

OPENCV做图像变形的经典代码啊，适合比较初级的同学看看(OPENCV do image warping the classic code ah, suitable for elementary students to see more)

混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。(mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.)

基于TensorFlow图像处理的小测试，里面的代码自己尝试过都可以运行。(Based on the TensorFlow image processing test, the code can run if it has tried.)