gmmreg_cpd

说明：  使用matlab实现图像的JPEG压缩算法的实现(Realization of JPEG compression algorithm of image with MATLAB)

对图中微流道各个形状模块进行分割，并计算了微流道的宽度，还有入射光钎到接受光纤的距离。(The specific module is divided and the length and width are calculated.)

这是一个实现边缘连接的程序，用于连接在一条轮廓线上的边缘点(edge link)

实现图像融合的一些基本代码 实现了梯度金字塔拉普拉斯金字塔算法的图像融合 (matlab This procedure based on the implementation of the FSD pyramid image fusion algorithm, the effect was not bad, you can reference.)

通过图片的外参数矩阵对图片进行透视变换，对图片的外参数进行校正(camera calibration)

LTE中速率匹配的代码，包括子块交织，比特搜集，比特选择和修剪(The code rate matching in LTE, including the sub-block interleaving and bit gather, bit selection and pruning)

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.)

基于自适应技术的遗传算法matlab源码，可应用于图像的去噪处理(based on adaptive technology GA Matlab source can be applied to the image denoising)

用于虹膜定位……定位外圆之前需要进行边界跟踪，此程序实现此功能(For Iris Location ... Location ... before the need for outer border tracking, this procedure realize this feature)

在对散乱点云进行三维重建时，许多算法都需要求点云的法矢并保证所有法矢的方向一致向外。本程序就是对点云数据求法矢和方向调整，包含文件输入输出的完整程序。(Scattered normals strike and reorientation)