tiaoshi1

基于halcon图像处理平台的相机标定算法，相当不错。。。。。(Halcon based image processing system camera calibration algorithm is quite good. . . )

MATLAB 计算医学图像的配准，融合 基于SIFT方法的配准()

用OpenCV进行图像处理与工程开发的一个入门示例程序——Hough变换，效果不错(using OpenCV for image processing and development of a project portal sample program-- Hough Transform good results!)

上传程序为利用vc编写的近景摄影测量程序，包括影像匹配，基本矩阵生成，核显影像生成等等。(Upload the program for the use of close-range photogrammetry vc written procedures, including image matching, basic matrix generation, nuclear generation, and so was the image.)

实现运动目标的跟踪，首先用鼠标选取一个区域。之后能自动跟踪这个目标(Tracking of moving objects, first use the mouse to select a region. After automatic tracking of this objective)

lbg算法是一种经典的矢量量化算法，此源码为lbg算法的c语言实现。(lbg algorithm is a classic vector quantization algorithm, the algorithm lbg source for the C Language.)

说明：  用MFC实现将位图进行直方图均衡化处理的源码(MFC to achieve the bitmap with the histogram equalization processing of the source)

visualc++6.0 实现图像中圆的检测(circle detection)

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.)

这里的图像增强包括灰度修正、平滑、滤波、锐化等，是图像处理的基本操作，本代码调试通过(Here, including gray-level correction image enhancement, smoothing, filtering, sharpening, etc., is the basic image processing operations, the code debugging by)