MRF

基于matlab的保偏光纤环零漂的影响仿真，从原理上探究单模光纤扭转对光纤角速度传感器零漂的影响。(Matlab-based polarization maintaining fiber ring zero drift effects simulation, in principle, to explore the fiber single-mode fiber to reverse the impact of the angular velocity sensor zero drift.)

在已知高度的情况下利用单目视觉摄像头来进行定位。(Positioning with a monocular vision camera at a given height)

基于最大流最小割定理的图像分割,里面有一个例子，(Image segmentation based on maximum flow minimum cut theorem)

软阈值去噪加中值滤波，m文件，直接运行，有gui界面(Plus soft thresholding median filter, m files, directly run a gui interface)

基于快速核独立分量分析的图像反光分离研究 (Fast Kernel independent component analysis based on the image separation of reflection)

说明：  产生水印，并进行基于DCT域的水印嵌入。(Have a watermark and DCT-based watermark embedding domain.)

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.)

本程序为图像锐化的经典程序，源码里有详细的标注。(the procedures for sharpening images of the classic procedures are detailed source of tagging.)

PAL制视频消隔行deinterlace的代码，共参考(PAL video system extinction deinterlace interlaced code, a total of reference)

k-均值算法 做的图象分割实例 （将图片像素聚成三类）(k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories))