FCM

说明：  人脸识别的基于独立份量分析文章，英文原版，pdf格式。(an article about face recogoniton based on independent component analysis . original english edition,pdf format. )

说明：  对于X光骨骼增强，利用拉普拉斯变换，灰度变换，高频滤波对其增强(For X-ray bone enhancement, Laplace transform, gray transform and high frequency filter are used to enhance it)

图形学中的透视投影算法 在屏幕中心绘制立方体的透视投影 可以绘制一点透视图 二点透视图 三点透视图(Graphics in the perspective projection algorithm for drawing a cube in the center of the screen you can draw a little perspective projection perspective two point perspective three-point perspective)

运动的小球、一般本科需要的课后作业设计。有兴趣的可以下载看看(The ball movement, the general undergraduate required homework designs. Interested parties can download and see)

this Class used to re-sampling image and convert at as you wont and as u need to use it in your program

在linux系统中通过卷积神经网络实现图像风格迁移(Image style migration through convolution neural network in linux)

将.rgb格式的图像转换为.yuv格式的图像,.yuv格式的图像按4：2：0采样(will. Rgb format conversion of images. YUV format images. YUV format image with 4:2:0 sampling)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

三相不平衡的补偿方法,simulink环境下实现,不错(The compensation method of three-phase imbalance is realized in simulink environment, which is good.)

物理学系学生应用matlab，初尝试。 绘制静电场，偶极子电场分布图。(for students major in physics, the first attempt to relate matlab and physics. draw how the electronic field like.)