MSE

完成了对车道线进行了识别，主要流程为灰度化，边缘检测，hough变换。(We completed the lane line identification, the main process of graying, edge detection, hough transform.)

自己做的双向dc/dc，双环控制，跟踪的不错(DUAL DC/DC Voltage and current loop)

指纹识别中的指纹图像预处理程序，包括有归一化，二值化，图像分割，图像增强，图像细化(Fingerprint identification fingerprint image preprocessing procedures, including normalization, binarization, image segmentation, image enhancement, image thinning)

量子图像加密 模拟BB84规则 对图像进行加密(quantum signal processing)

C# 图片翻转 并显示 实例源码

vo分解模型用于分解图像的纹理和卡通部分的matlab源代码(The vo decomposition model for the decomposition of the image texture and cartoon part of the Matlab source code)

说明：  信号处理傅里叶变换，三分之一倍频程，荷载时程曲线绘制(Signal processing Fourier transform, one third octave, load time history curve drawing)

光流法是动态背景目标检测的重要方法，介绍了光流法的原理(Optical flow method is a dynamic background target detection method, introduced the principle of optical flow method)

一个有关边缘检测 robert sobel FFT傅里叶变换等算法的demo(a demo using VC++ that implements the algorithms of edge detection and FFT)

在图像的DCT系数上嵌入信息，图像为常见的512*512大小的灰度图（实验所用图像为LENA.BMP）。嵌入的信息为一二进制Logo图（实验所用logo图为tj-logo.bmp），该图大小为32*32，共1024个Bit。 1. 在LENA图中嵌入水印，输出嵌入后的水印图像。 2. 对水印图像解码，输出解码后得到的logo图，并统计错误率。 3. 使用不同的嵌入强度进行嵌入，观察其对作品直觉效果和解码效果的影响，绘制相应的曲线。 4. 使用加入噪声、改变对比度、JPEG压缩等攻击方法对水印作品进行攻击，查看解码的效果。 (Information embedded in the DCT coefficients of the image, the image of the common 512* 512 size gray-scale (experimental image LENA.BMP). Information embedded in a binary Logo Figure (used in the experiment logo picture shows the tj-logo.bmp), the plot size 32* 32, 1024 Bit. LENA Figure embedded watermark, the watermark image output embedded. (2) logo watermark image decoding, the output decoded Figure statistical error rate. (3) using a different embedding strength for embedding, observe the works intuitive effects and decoding results, and draw the corresponding curve. (4) by adding the noise, change the contrast, JPEG compression attack methods to attack, to see the effect of decoding the watermark works.)