相位配准

GM(1,1)的程序,要用就下啥,可以预测的,里面有详细的说明,很容易看懂的！,(GM (1, 1) program, want to use is what, predictable, there are detailed instructions, it is easy to understand!)

将所以的人脸图像规一化，用灰度投影法定位脸的左右两侧，再用灰度投影大致定位眼睛，根据眼睛的距离进行几何缩放，将人脸规一化。(Will therefore face image of one of regulation, using gray-scale projection method of positioning the right and left face, and then more or less gray projector positioning the eyes, under the eyes of the distance geometry scaling, will face one of regulation.)

使用Tensoflow实现图卷积神经网络模型(Use Tensoflow Implementation Figure convolution neural network model)

此程序可以将JPEG格式的文件转化为BMP(failed to translate)

说明：  已知质量阻尼弹簧系统的运动微分方程，求系统何时达到稳定，并画出位移时间变化曲线(Known mass damper spring system equations of motion, seeking when the system reaches stability, and draw the displacement-time curve)

数字图像相关方法中的一种亚像素求解算法，通过此算法可以获得全场位移，继而得到全场形变。(A sub-pixel algorithm in digital image correlation method, which can obtain the full field displacement, and then get the full field deformation.)

基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。(Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.)

有限体积法，解决蒸发器的热传递问题，提供外形仿真，模板仿真，以及算法的开发，易于使用(Finite volume method to solve the evaporator heat transfer problems)

按照C语言程序实现对128x128像素点、256灰度等级灰度图像的灰度直方图显示(In accordance with the C language program to 128x128 pixels, 256 gray scale histogram display grayscale images)

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)