资源列表
tianxian_simulation
- 程序对天线中的一种重要类型： 半波、全波、三倍半波天线波瓣图 进行了仿真和三维成像。有助于对天线中波瓣图的理解。-Program is an important antenna types: half-wave, full-wave, three times the half-wave antenna lobe pattern simulation and three-dimensional imaging. Contribute to the wave antenna lobe pat
Digital-image-processing
- 数字图像处理的文件，总结了几种数字图像处理的方法以及matlab的代码-Digital image processing documents, summed up a number of digital image processing methods and matlab code
DE
- 最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2-The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward differenc
danandzai_sar
- 自己写的关于弹载SAR的源程序，对初学者非常有用！-Write your own source code on missile-borne SAR, and very useful for beginners!
Solar-Light
- 在带有灯光的太阳系环绕系统中第一人称漫游程序。使用方向键和a,d两个键控制驾驶舱位移-In the solar system with surround lighting in the first person roaming program. Use the arrow keys and a, d two keys to control the displacement of the cockpit
IP_MFC
- MFC程序读取BMP图片文件进行线性变换(V、倒V、L、倒L变换、反色变换)-MFC program reads the BMP image file linear transformation (V, inverted V, L, inverted L transform, and color conversion)
Profile
- 二重扫描算法计算二值图像中物体的轮廓,包括4连通和8连通的计算-Dual scanning algorithm outline binary image objects, including computing and communication 4 8 communication
Cprogram4_Digui2(right)
- 实现opengl图形填充功能。图形是基于Bresenham算法画的，可以自选多边形的边数。-OpenGL graphics to achieve the filling function. Graphics are drawn based on the Bresenham algorithm, can choose the edge of the polygon.
Calibrate1cam
- Calibrate Cam with OpenCV
CameraCapture
- 可以从摄像头读取视频，实现人脸检测，保存视频或快照等功能-Capture video camera,face detection and save video or picture.
2
- 用vs2010+opencv2.4.9做的粒子滤波灰度视频目标跟踪，框架完整，同版本下可直接运行，跟踪效果一般-Vs2010+ opencv2.4.9 do with particle filter gray scale video object tracking, frame integrity, and can be run directly under the same version, tracking the general effect
CNN2
- 数字识别CNN训练源码，简单入门学习，深度学习入门参考源码,是国外大神写的一个方法-Digital Identification KNN training source, the simple entry-learning, deep learning introductory reference source