myexcise1

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

说明：  matlab2016b编写的调用了库函数的混合高斯背景建模源代码。(The source code of Mixture Gauss Background Modeling which calls library function is written by MATLAB 2016b.)

说明：  粒子滤波器matlab实现，用于实现目标检测算法(Particle filter matlab realized, for the achievement of Target Detection Algorithm)

说明：  双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

KSVD字典训练程序，用于生成适应于图像内容的稀疏字典。稀疏描述必读程序。(KSVD dictionary training program used to generate a sparse dictionary adapted to image content. Sparse description of the Privacy Policy program.)

通论算法，给人脸做重构处理，进一步完成人脸的样本稀疏化，还能更好的重构人脸。(The General Theory of algorithms, giving face to do reconstruction processing to complete further thinning of face samples, but also to better reconstruct the face.)

实现图像的滤波、锐化、边缘检测、微分处理及图像平滑(Image filtering, sharpening, edge detection, differential processing and image smoothing)

利用ICM方法得到基于MRF场的SAR图像分割(Achieve market segmentation ICM s MRF)

本ACIS几何造型平台组件提供基本的拓扑构造，线框构造和编辑，性质分析（面积长度和质量等）等功能。(the ACIS geometric modeling platform components provide basic topological structure, wireframe construction and editing, Analysis (area of length and quality, etc.) and other functions.)

视频水印matlab源码，此为第二个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the second-compressed, Watermark in the field of lovers can download as a reference)