wm_noise

说明：  克里金算法2.0版本，对二维插值有详细的工具箱(kriging algorithm V2.0 for matlab )

说明：  本程序使用MFC编写了一个能够在同一界面上显示立体图形的三视图的源程序。(This program using MFC wrote a can in the same interface shown on the SanShiTu three-dimensional graph of the source program.)

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.

进行kcm和fcm聚类分割图象的性能比较(kcm for clustering segmentation and image fcm Performance Comparison)

经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类(Achieve the effect of classical K-means clustering, plus simple data)

采用zernike方法进行图像处理，适用于图像匹配，图像重建(The image processing method using zernike for image matching, image reconstruction)

说明：  基于相邻像素间位异或的图像置乱算法,效果很好，改变图像直方图(Between the adjacent pixels based on the XOR bit of image scrambling algorithm, well, change the image histogram)

说明：  利用最大间类差，最优阈值，迭代阈值等方法实现图像分割(The maximum class difference, optimal threshold and iterative threshold are used to realize image segmentation)

二维窗口函数，包含汉宁窗，布莱克曼窗，契比雪夫窗等(it creates a 2 dimentional window for a sample image)

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.)