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这是一种简单的互相关图像匹配算法，已经在matlab环境下测试过，效果很好。附带两张匹配图片(This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures)

相变凝结蒸发，源项vof-udf，定义连续性方程，能量方程，动量方程中的质量源项，能量源项和动量源项(condensation and evaporation)

影像仿射变换特征提取，结合 sift 等局部特征可以处理较大视角变化下的图像匹配。(This is an implementation of Hessian-Affine detector. )

该程序利用小波模极大值对图像边缘进行检测并提取,效果很理想(The program using the wavelet modulus maxima of the image edge detection and extraction, the effect of very satisfactory)

增强型Lee滤波，附有详细注释，简单易用，参数可调(enhanced LEE filter)

对彩色和灰度图像双边滤波 保持边缘并滤除噪声(Of color and grayscale images and to filter out the edge of the bilateral filter to keep noise)

冈萨雷斯第三版 10.3.6节 关于双 ostu阈值处理的算法(digital image processing,third edition the code about two ostu threshold processing)

指纹图像的增强，效果很好,计算指纹的频率和方向，采用Gabor的方式增强(Fingerprint image enhancement, the effect is very good, calculate the frequency and direction of fingerprints, using Gabor way to enhance)

说明：  学习和掌握简单条件下规则形体重力异常的正演计算方法和形态特征，加深对课堂理论内容的理解。 根据指定形状地质体，选择不同产状和密度参数，计算出重力异常及其导数的正确结果。绘制相应的剖面异常图，观察曲线形态。(Learn and master the forward calculation method and morphological characteristics of gravity anomaly of regular body under simple conditions, and deepen the understanding of classroom theoretical content. According to the specified shape geological body, different occurrence and density parameters are selected to calculate the correct results of gravity anomaly and its derivative. Draw the corresponding profile anomaly map and observe the curve shape.)

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.)