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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)

如何获取屏幕上各颜色的红、绿、蓝值(how to access the colors on the screen in red, green and blue values)

利用广义S变换求取地震信号时频谱，参数可调，代码清晰，用途广泛(The generalized S transform is used to get the time spectrum of signals, and the parameters can be adjusted.)

Packet matching code.

行人重识别 光流法 步态能量图 文件处理 归一化 步态识别(Pedestrian recognition, optical flow method, gait energy diagram, document processing, normalized gait recognition)

说明：  UTILITEUR VASP POUR LE CALCUL DES PHONONS

运用图像处理，运用滤波，闭运算，腐蚀，膨胀进行一维码即条形码的识别(The use of image processing, the use of filtering, closed computing, corrosion, expansion of one-dimensional code, that is, bar code identification)

基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。(OpenCV based hough transform to detect linear image, the code can identify seam tracking.)

说明：  LSCN彩色图像增强算法，PCNN算法的优化改进(algorithm of LSCN color image enhancement)

说明：  分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。 分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。(The watershed algorithm is an image region segmentation method. In the segmentation process, it will use the similarity with neighboring pixels as an important reference basis, so as to connect pixels that are close in space and have similar gray values to each other. Forming a closed contour, closedness is an important feature of the watershed algorithm. This example applies to 2D and 3D images, calculates the watershed transformation and displays the resulting label matrix as an RGB image.)