资源列表
sphere
- 关于MATLAB的图像处理,运用sphere绘制一个球形，并进行色彩控制.(About MATLAB image processing, the use of sphere draw a ball, and color control)
peaks
- 利用surf1函数绘制函数图形的三维光照图形，其中图形函数表达式为peaks(Use surf1 function to draw three-dimensional graphics of functional graphics, in which the graphical function expression is peaks)
ginput
- 通过ginput函数对于正弦函数y=sin(x)的图线进行取点(use ginput function to pick the point of the sine function y=sin(x))
white
- 创建一个具有白色背景的图像，并设置根对象下的坐标轴对象的默认值(Create an image with a white background and set the default value of the coordinate axis object under the root object)
PCA
- PCA图像融合效果挺好可以试试.......(PCA fuction image fusion effect is good, you can try)
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