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《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)

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.)

说明：  基于光流法的运动目标检测 也可用于流体力学运动检测(Optical flow method based on the motion detection Motion detection can also be used for fluid dynamics)

利用棋盘格对相机进行标定，加入误差判定及像素空间到实际物理空间的距离计算(The camera is calibrated by checkerboard, the error is added and the distance of pixel space to the actual physical space is calculated)

图像拼接：实现两幅具有重叠区域的图像的拼接；使用MFC框架，内有程序使用文档(image mosaicing)

里面涉及了线宽线型的设置，各种图形，还有画笔画刷设置选择，颜色设置等，代码非常齐全，还有编程的每一步都有截图和说明(Which involves the linewidth linear settings, a variety of graphics, and brush brush settings selection, color settings, the code is very complete, and programming of every step have screenshots and description)

椭圆拟合，输入中心坐标及椭圆长半轴和短半轴即可画出相应椭圆(ellipse fitting)

采用MFC，实现遥感图像的基本增强，滤波，变换等功能。还可以保存数据。(Using MFC, to achieve the basic enhancement of remote sensing images, filtering, transformation and other functions. You can also save data)

灰度图像的二维傅里叶变换(cv_gray_fft2)，二维傅里叶变换结果的幅值计算(cv_abs)，频谱平移(cv_gray_fft2shift)，将数值归一化到0到255区间(cv_range_0to255)是非常常用的四个功能！所以写成四个函数，方便将来调用！附运行截图~并附对应的MATLAB程序！(Dimensional Fourier transform of the grayscale image (cv_gray fft2), two-dimensional Fourier transform results to calculate the amplitude (cv_abs), spectral translation (cv_gray_fft2shift), the value normalized to range 0 to 255 (cv_range_0to255) is very common four function! so written as four function to facilitate future calls! attached run shot- along with the corresponding MATLAB program!)

可以将256色度级的图像转化为灰度图象，挺值得新手学习一下的，希望大家能喜欢(256 chroma level images can be converted to grayscale images, very worth novice to learn about, and I hope you like)