X光增强

说明：  声呐或者雷达系统发射信号后，通过波束形成算法对两个目标（方位分别为theta1、theta2）回波进行仿真，经过相位补偿，可以看出图像有两个波峰，波峰处指向性函数峰值最大，峰值所对应的的角度值即为目标的方位角。所以该程序对数字波束形成（DBF）的原理进行了仿真，适合初学者掌握阵列信号处理中数字波束形成的原理。(After the sonar or radar system transmits the signal, the echo of the two targets (the azimuth is theta1 and theta2 respectively) is simulated by the beamforming algorithm. After the phase compensation, it can be seen that the image has two peaks, the peak of the directivity function is the largest, and the corresponding angle value of the peak is the azimuth of the target. So the program simulates the principle of DBF, which is suitable for beginners to master the principle of DBF in array signal processing.)

说明：  实现无人直升机的控制功能，包括姿态角的仿真。(Realize the control function of unmanned helicopter, including the function of attitude angle.)

点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)

图像配准的经典教材，对做医学图像配准和相关研究的人很有帮助(image registration of the classic textbook on conducting medical image registration and related research to people)

说明：  提取视频中的图片，每一帧的信息，把视频分为图片信息(get picture of video)

说明：  绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式,融合了自组织和有导师监督的技术,学习方法是竞争的,但(LVQ (Learning Vector quantization) algorithm: it is an extended form of supervised learning of Kohonen, which combines self-organizing and supervised techniques. The learning method is competitive, but the)

说明：  AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)

说明：  官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

zernike亚像素识别算法，matlab实现。(Zernike sub-pixel recognition algorithm, matlab achieve.)