资源列表
libfacedetection-master
- 免费、高性能的人脸检测库.这个库比OpenCV自带的人脸检测强大一个数量级！纯C语言生成的二进制库，不依赖任何其他的库。接口更简洁，就一个函数。-Free, high-performance face detection library. This library than OpenCV face detection comes a powerful magnitude! Pure C language generated binaries, do not rely on any other l
MSE_Iris
- mse,Iris数据集，最小平方误差判别分类器-mse, Iris data collection, the least square error determination classifier
MSE_fourclass
- mse,fourclass数据集，最小平方误差判别分类器-mse, fourclass data collection, the least square error determination classifie
Laplacian
- Laplacan 算子是二阶微分算子, 它具有旋转不 变性, 即各向同性的性质.-Laplacan operator is a second order differential operator, which has not rotate Denaturation, i.e., isotropic properties.
Prewitt
- Prew it t 边缘算子是一种边缘样板算子。样板算子由理想的边缘子图像构成, 依次用边缘样板去检测图像, 与被检测区域最为相似的样板给出最大值, 用这个最大值作为算子的输出-Prewitt operator edge is an edge-operator model. Template operator edge sub-image the ideal structure, followed by edge template to detect an image area to be d
intergal_example
- 在计算Haar-like特征时，积分图的思路所呈现出来的熟读优势更加明显。-In calculating the Haar-like features, integral image of the presentation of the familiar idea of the more obvious advantages
roberts
- Roberts 边缘检测算子是根据任意一对互相垂直方向上的差分可用来计算梯度的原理, 采用对角线方向相邻像素之差-Roberts edge detector is based on the difference any pair of mutually perpendicular directions can be used to calculate the gradient of principle, the use of adjacent pixels diagonal direction
Sobel
- sobel将图像中的每个像素的上、下、左、右四邻域的灰度值加权差, 与之接近的邻域的权最大-Right sobel gray value of each pixel in the image, down, left and right neighbors field of weight difference, with the largest neighborhood close
Moving-Object-Detection
- 车牌运动目标检测。该代码已调试，相对于其他算法，具有一定的优势。-License plate moving target detection. The code has been debugging, compared to other algorithms have certain advantages.
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
ArcEngineErase(AE9.3aVS2008)
- ArcEngnine开发Erase功能，方便初学者学习Erase功能，可进行模仿。-ArcEngnine Erase