GraphExample

图像识别算法，使用点阵方式识别图片，借用Tessnet2.zip 组件，用来进行图片文字/图片数字识别(Tessnet2.zip use to be Image recognise)

2019最新的神经网络隐写分析网络，对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

说明：  据的规范化程序,消除数据的量纲对处理结果的影响,数据点之间距离的计算程序(According to the standardized program, the influence of the dimension of the data on the processing results is eliminated, and the calculation program of the distance between the data points is obtained.)

这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

光栅图形学中的扫描填充算法。list<Line> AET和list<Line>* NET构成了活性边表和新边表.算法先初始化各扫描线新边表,之后对于每条扫描线更新活性边表，并且配对交点来着色。 (Raster graphics scanning fill algorithm. list <Line> AET list <Line>* NET constitute the active side of the table and side table new algorithm to initialize each scan line side table new, after each scan line update the active side of the table, and the the paired intersection of coloring.)

说明：  SUSAN得源代码 希望对你有用 SUSAN得源代码(SUSAN source code in hopes SUSAN useful to you in source code)

程序实现图像分块，凸包，分割等功能，学图像处理的朋友建议下载。(Image sub-block implementation procedures, convex hull, partition and other functions, the study image processing Friend recommended download.)

stm32识别颜色的算法程序源代码，对于不同颜色的识别准确率极高(STM32 color recognition algorithm program source code)

首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

轮轨接触CONTACT程序，可以用来计算轮轨磨耗(Wheel-rail contact CONTACT procedures can be used to calculate the wheel-rail wear)