资源列表
difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
frame-difference(IplImage
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。加入空的工程即可运行。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
dealwithcolorimg
- 对彩色位图的处理程序，可以实现位图的逆反处理、曝光处理、扩散处理等-A color bitmap processing procedures, can achieve bitmap antagonistic treatment, exposure processing, diffusion treatment
average
- 在visual studio2010和opencv244写的时间平均法的背景初始化算法。-In the visual studio2010 and opencv244 average time to write a background initialization algorithm.
mean
- 在visual studio2010和opencv244写的时间中值法的背景初始化算法。-In the visual studio2010 and opencv244 median time to write a background initialization algorithm method.
DIPAX-Reference-program
- 实现图像处理的基本程序，如：灰度化，特征提取，直方图显示,二值化等的实现-Achieve the basic image processing procedures, such as: gray, feature extraction, histogram display, binarization.
ClipImager
- 图片的放大、缩小和剪切的功能，如果c#里面你要处理一张图片，使之变大变小或只裁剪一部分，那么就下载吧！-Picture zoom in, zoom and shear feature if you want to deal with c# inside a picture, so that turning or just cut into small part, then download it!
dachengxu
- 可以实现简单的图像读入，进行灰度化，二值化，轮廓提取，种子填充等。-The image can be achieved simply reads, Gray, binarization, contour extraction, seed filling.
Identifying-code
- 用C#t通过GDI绘制条形码，并对条形码进行识别-By using C# t GDI drawing bar codes and bar code identification
AntNavSimu
- 参考论文“气象用太阳赤纬和时差计算方法研究”编写的导航仿真程序-Reference paper " weather and time difference with solar declination calculation method" Writing navigation simulation program
PFtracking
- 用于目标跟踪的粒子滤波代码， 用matlab编写的，很有借鉴性，一维情况下，非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-Particle filter for target tracking code, using matlab prepared very useful reference resistance, the one-dimensional case, the non-Gaussian nonlinear, which will be ex
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking