资源列表
mallifrey-lanka
- pro kokoty text je tady
__32-msvcr120d.dll12.0.20827.3
- This CvMemStorage *storage, double scaleFactor, int minNeighbors, int flags, CvSize minSize = cvSize(0, 0), CvSize maxSize = cvSize(0, 0)); void detectMultiScale(oclMat &image, CV_OUT std::ve
IDM with patch!!!
- This ectObjects(oclMat &gimg, CvMemStorage *storage, double scaleFactor, int minNeighbors, int flags, CvSize minSize = cvSize(0, 0), CvSize maxSize = cvSize(0, 0)); void detectMultiScale(oclMa
canny
- 图像的边缘检测的原理是检测出图像中所有灰度值变化较大的点，而且这些点连接起来就构成了若干线条，这些线条就可以称为图像的边缘。(The principle of edge detection of an image is to detect all the changes in the gray value of the image, and these points are connected to form a number of lines, these lines can be calle
Gradient
- 利用X方向与Y方向分别实现一阶微分，求取振幅，实现图像梯度效果(Using the X direction and Y direction respectively to achieve the first order differential, the amplitude, to achieve the image gradient effect)
HOG
- 将这330个3780维的HOG特征当做测试样本，用支持向量机（SVM）分类器来判别出，这些窗口的HOG特征是否有行人，有行人的用矩形框标记起来。HOG行人特征及所对应的SVM分类器的参数，在opencv中已经训练好了，我们只需要得到HOG特征，然后调用SVM即可得到判别结果(The 330 Hera features of 3780 dimensions are used as test samples, and the support vector machine (SVM) classifi
zhishiying2
- 自适应过程是一个不断逼近目标的过程。它所遵循的途径以数学模型表示，称为自适应算法。通常采用基于梯度的算法，其中最小均方误差算法（即LMS算法）尤为常用。(The adaptive process is a process of approaching the goal. The way it follows is represented by a mathematical model, called an adaptive algorithm. Gradient-based algorithms
Isface
- Is face recognition really a Compressive Sensing problem ?
Untitled3
- Robert.Sobel.Prewitt算子对比(The properties of Robert.Sobel.Prewitt differential operators are compared)
计算机综合实训
- 本系统是基于vs2015环境编写的，根据大体功能，编写工作就是定好大框架，然后按照每个小功能独立编写调试。也就是一步一步写好每个消息响应函数。对于这个题目大致的认识是通过单文档界面的许多控件，实现设置图形绘制、读取保存图片、建立工具箱、图形区域复制、文字输入和橡皮擦的一系列功能。通过鼠标左键的按下抬起和鼠标的移动消息相应模仿windows 自带的画图功能的用户体验，并配合菜单栏进行功能选择，通过菜单栏实现可以存入位图文件的读取，从而实现的基本功能。(The system is based on
小波
- 这个程序可以i对图像进行小波去噪，或者实现小波分割(Can achieve wavelet denoising or wavelet segmentation code)
Lee filter for speckle noise reduction
- 在自适应中值滤波的基础上，采用均值与方差得到一个阈值，来判断极值点是不是噪声点！(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)